Overview

Dataset statistics

Number of variables97
Number of observations433
Missing cells96
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory328.3 KiB
Average record size in memory776.3 B

Variable types

Numeric1
Categorical96

Alerts

6,7 Mbps has constant value "- 0"Constant
86 Mbps has constant value "- 0"Constant
Otros has a high cardinality: 305 distinct valuesHigh cardinality
0,5 Mbps has a high cardinality: 97 distinct valuesHigh cardinality
0,512 Mbps has a high cardinality: 63 distinct valuesHigh cardinality
0,75 Mbps has a high cardinality: 95 distinct valuesHigh cardinality
1 Mbps has a high cardinality: 404 distinct valuesHigh cardinality
2 Mbps has a high cardinality: 323 distinct valuesHigh cardinality
3 Mbps has a high cardinality: 408 distinct valuesHigh cardinality
3,5 Mbps has a high cardinality: 146 distinct valuesHigh cardinality
4 Mbps has a high cardinality: 247 distinct valuesHigh cardinality
5 Mbps has a high cardinality: 336 distinct valuesHigh cardinality
6 Mbps has a high cardinality: 420 distinct valuesHigh cardinality
7 Mbps has a high cardinality: 148 distinct valuesHigh cardinality
8 Mbps has a high cardinality: 212 distinct valuesHigh cardinality
9 Mbps has a high cardinality: 110 distinct valuesHigh cardinality
10 Mbps has a high cardinality: 400 distinct valuesHigh cardinality
12 Mbps has a high cardinality: 351 distinct valuesHigh cardinality
15 Mbps has a high cardinality: 334 distinct valuesHigh cardinality
18 Mbps has a high cardinality: 218 distinct valuesHigh cardinality
20 Mbps has a high cardinality: 378 distinct valuesHigh cardinality
25 Mbps has a high cardinality: 306 distinct valuesHigh cardinality
30 Mbps has a high cardinality: 327 distinct valuesHigh cardinality
40 Mbps has a high cardinality: 65 distinct valuesHigh cardinality
50 Mbps has a high cardinality: 341 distinct valuesHigh cardinality
Provincia is highly overall correlated with 0,256 Mbps and 15 other fieldsHigh correlation
0,256 Mbps is highly overall correlated with Provincia and 42 other fieldsHigh correlation
0,375 Mbps is highly overall correlated with Provincia and 4 other fieldsHigh correlation
0,625 Mbps is highly overall correlated with Provincia and 4 other fieldsHigh correlation
0,5 Mbps is highly overall correlated with Provincia and 57 other fieldsHigh correlation
0,512 Mbps is highly overall correlated with Provincia and 50 other fieldsHigh correlation
0,75 Mbps is highly overall correlated with Provincia and 50 other fieldsHigh correlation
1,2 Mbps is highly overall correlated with 0,256 Mbps and 8 other fieldsHigh correlation
1,25 Mbps is highly overall correlated with Provincia and 4 other fieldsHigh correlation
1,5 Mbps is highly overall correlated with 0,256 Mbps and 38 other fieldsHigh correlation
2,2 Mbps is highly overall correlated with 0,256 Mbps and 20 other fieldsHigh correlation
2,5 Mbps is highly overall correlated with 0,256 Mbps and 46 other fieldsHigh correlation
3,2 Mbps is highly overall correlated with 0,512 Mbps and 1 other fieldsHigh correlation
3,3 Mbps is highly overall correlated with Provincia and 19 other fieldsHigh correlation
4,5 Mbps is highly overall correlated with 0,256 Mbps and 27 other fieldsHigh correlation
6,4 Mbps is highly overall correlated with 0,5 Mbps and 19 other fieldsHigh correlation
7,5 Mbps is highly overall correlated with 0,256 Mbps and 34 other fieldsHigh correlation
10,6 Mbps is highly overall correlated with Provincia and 17 other fieldsHigh correlation
11 Mbps is highly overall correlated with 0,256 Mbps and 41 other fieldsHigh correlation
13 Mbps is highly overall correlated with 0,256 Mbps and 41 other fieldsHigh correlation
14 Mbps is highly overall correlated with 0,5 Mbps and 38 other fieldsHigh correlation
16 Mbps is highly overall correlated with 0,256 Mbps and 47 other fieldsHigh correlation
17 Mbps is highly overall correlated with 0,256 Mbps and 23 other fieldsHigh correlation
19 Mbps is highly overall correlated with 0,5 Mbps and 8 other fieldsHigh correlation
21 Mbps is highly overall correlated with 0,256 Mbps and 37 other fieldsHigh correlation
22 Mbps is highly overall correlated with Provincia and 32 other fieldsHigh correlation
23 Mbps is highly overall correlated with 0,256 Mbps and 33 other fieldsHigh correlation
24 Mbps is highly overall correlated with 1,5 Mbps and 26 other fieldsHigh correlation
25,1 Mbps is highly overall correlated with 0,5 Mbps and 19 other fieldsHigh correlation
25,11 Mbps is highly overall correlated with 0,5 Mbps and 16 other fieldsHigh correlation
25,5 Mbps is highly overall correlated with 0,5 Mbps and 19 other fieldsHigh correlation
26 Mbps is highly overall correlated with 19 Mbps and 1 other fieldsHigh correlation
28 Mbps is highly overall correlated with 0,512 Mbps and 5 other fieldsHigh correlation
29 Mbps is highly overall correlated with Provincia and 21 other fieldsHigh correlation
31 Mbps is highly overall correlated with 0,256 Mbps and 30 other fieldsHigh correlation
32 Mbps is highly overall correlated with 0,256 Mbps and 17 other fieldsHigh correlation
34 Mbps is highly overall correlated with 0,256 Mbps and 32 other fieldsHigh correlation
35 Mbps is highly overall correlated with 0,256 Mbps and 36 other fieldsHigh correlation
36 Mbps is highly overall correlated with 24 Mbps and 2 other fieldsHigh correlation
37 Mbps is highly overall correlated with 0,5 Mbps and 8 other fieldsHigh correlation
38 Mbps is highly overall correlated with 0,256 Mbps and 12 other fieldsHigh correlation
39 Mbps is highly overall correlated with 0,256 Mbps and 7 other fieldsHigh correlation
40 Mbps is highly overall correlated with 0,256 Mbps and 46 other fieldsHigh correlation
41 Mbps is highly overall correlated with Provincia and 30 other fieldsHigh correlation
45 Mbps is highly overall correlated with 1,2 Mbps and 3 other fieldsHigh correlation
46 Mbps is highly overall correlated with 0,5 Mbps and 1 other fieldsHigh correlation
47 Mbps is highly overall correlated with 0,5 Mbps and 1 other fieldsHigh correlation
48 Mbps is highly overall correlated with 24 MbpsHigh correlation
49 Mbps is highly overall correlated with Provincia and 28 other fieldsHigh correlation
52 Mbps is highly overall correlated with 0,256 Mbps and 15 other fieldsHigh correlation
54 Mbps is highly overall correlated with 0,256 Mbps and 22 other fieldsHigh correlation
55 Mbps is highly overall correlated with 0,256 Mbps and 38 other fieldsHigh correlation
58 Mbps is highly overall correlated with 0,256 Mbps and 35 other fieldsHigh correlation
59 Mbps is highly overall correlated with 0,256 Mbps and 30 other fieldsHigh correlation
60 Mbps is highly overall correlated with 0,256 Mbps and 46 other fieldsHigh correlation
61 Mbps is highly overall correlated with 0,256 Mbps and 27 other fieldsHigh correlation
62 Mbps is highly overall correlated with 0,256 Mbps and 35 other fieldsHigh correlation
63 Mbps is highly overall correlated with 0,512 Mbps and 3 other fieldsHigh correlation
64 Mbps is highly overall correlated with 0,5 Mbps and 6 other fieldsHigh correlation
65 Mbps is highly overall correlated with 0,5 Mbps and 33 other fieldsHigh correlation
66 Mbps is highly overall correlated with Provincia and 15 other fieldsHigh correlation
67 Mbps is highly overall correlated with Provincia and 2 other fieldsHigh correlation
68 Mbps is highly overall correlated with 0,5 Mbps and 8 other fieldsHigh correlation
70 Mbps is highly overall correlated with 0,5 Mbps and 41 other fieldsHigh correlation
71 Mbps is highly overall correlated with 0,5 Mbps and 8 other fieldsHigh correlation
75 Mbps is highly overall correlated with 0,256 Mbps and 43 other fieldsHigh correlation
77 Mbps is highly overall correlated with 0,5 Mbps and 8 other fieldsHigh correlation
78 Mbps is highly overall correlated with 0,256 Mbps and 35 other fieldsHigh correlation
80 Mbps is highly overall correlated with 0,256 Mbps and 38 other fieldsHigh correlation
81 Mbps is highly overall correlated with 0,256 Mbps and 24 other fieldsHigh correlation
83 Mbps is highly overall correlated with 0,256 Mbps and 35 other fieldsHigh correlation
82 Mbps is highly overall correlated with Provincia and 4 other fieldsHigh correlation
0,256 Mbps is highly imbalanced (60.0%)Imbalance
0,375 Mbps is highly imbalanced (85.4%)Imbalance
0,625 Mbps is highly imbalanced (85.4%)Imbalance
1,2 Mbps is highly imbalanced (92.4%)Imbalance
1,25 Mbps is highly imbalanced (85.4%)Imbalance
1,5 Mbps is highly imbalanced (79.5%)Imbalance
2,2 Mbps is highly imbalanced (88.9%)Imbalance
2,5 Mbps is highly imbalanced (86.8%)Imbalance
3,2 Mbps is highly imbalanced (92.4%)Imbalance
3,3 Mbps is highly imbalanced (89.4%)Imbalance
4,5 Mbps is highly imbalanced (97.6%)Imbalance
6,4 Mbps is highly imbalanced (92.5%)Imbalance
7,5 Mbps is highly imbalanced (93.9%)Imbalance
10,6 Mbps is highly imbalanced (86.7%)Imbalance
11 Mbps is highly imbalanced (67.7%)Imbalance
13 Mbps is highly imbalanced (76.9%)Imbalance
14 Mbps is highly imbalanced (79.1%)Imbalance
16 Mbps is highly imbalanced (67.3%)Imbalance
17 Mbps is highly imbalanced (85.8%)Imbalance
19 Mbps is highly imbalanced (94.0%)Imbalance
21 Mbps is highly imbalanced (78.0%)Imbalance
22 Mbps is highly imbalanced (84.1%)Imbalance
23 Mbps is highly imbalanced (91.2%)Imbalance
24 Mbps is highly imbalanced (69.1%)Imbalance
25,1 Mbps is highly imbalanced (92.5%)Imbalance
25,11 Mbps is highly imbalanced (95.7%)Imbalance
25,5 Mbps is highly imbalanced (92.5%)Imbalance
26 Mbps is highly imbalanced (97.0%)Imbalance
28 Mbps is highly imbalanced (91.6%)Imbalance
29 Mbps is highly imbalanced (85.4%)Imbalance
31 Mbps is highly imbalanced (92.9%)Imbalance
32 Mbps is highly imbalanced (94.7%)Imbalance
34 Mbps is highly imbalanced (84.8%)Imbalance
35 Mbps is highly imbalanced (55.8%)Imbalance
36 Mbps is highly imbalanced (93.6%)Imbalance
37 Mbps is highly imbalanced (95.7%)Imbalance
38 Mbps is highly imbalanced (91.0%)Imbalance
39 Mbps is highly imbalanced (90.7%)Imbalance
41 Mbps is highly imbalanced (85.0%)Imbalance
45 Mbps is highly imbalanced (72.0%)Imbalance
46 Mbps is highly imbalanced (91.0%)Imbalance
47 Mbps is highly imbalanced (90.9%)Imbalance
48 Mbps is highly imbalanced (97.6%)Imbalance
49 Mbps is highly imbalanced (75.0%)Imbalance
51 Mbps is highly imbalanced (95.7%)Imbalance
52 Mbps is highly imbalanced (91.6%)Imbalance
54 Mbps is highly imbalanced (89.5%)Imbalance
55 Mbps is highly imbalanced (86.1%)Imbalance
56 Mbps is highly imbalanced (97.0%)Imbalance
58 Mbps is highly imbalanced (91.0%)Imbalance
59 Mbps is highly imbalanced (92.4%)Imbalance
60 Mbps is highly imbalanced (67.1%)Imbalance
61 Mbps is highly imbalanced (97.6%)Imbalance
62 Mbps is highly imbalanced (91.0%)Imbalance
63 Mbps is highly imbalanced (90.9%)Imbalance
64 Mbps is highly imbalanced (89.1%)Imbalance
65 Mbps is highly imbalanced (83.7%)Imbalance
66 Mbps is highly imbalanced (82.9%)Imbalance
67 Mbps is highly imbalanced (86.7%)Imbalance
68 Mbps is highly imbalanced (95.7%)Imbalance
70 Mbps is highly imbalanced (69.9%)Imbalance
71 Mbps is highly imbalanced (95.7%)Imbalance
75 Mbps is highly imbalanced (81.2%)Imbalance
77 Mbps is highly imbalanced (95.7%)Imbalance
78 Mbps is highly imbalanced (91.0%)Imbalance
80 Mbps is highly imbalanced (77.5%)Imbalance
81 Mbps is highly imbalanced (92.4%)Imbalance
83 Mbps is highly imbalanced (91.0%)Imbalance
82 Mbps is highly imbalanced (79.4%)Imbalance
Provincia is uniformly distributedUniform
1 Mbps is uniformly distributedUniform
3 Mbps is uniformly distributedUniform
6 Mbps is uniformly distributedUniform
10 Mbps is uniformly distributedUniform
20 Mbps is uniformly distributedUniform

Reproduction

Analysis started2023-01-03 16:52:49.243427
Analysis finished2023-01-03 16:53:08.202125
Duration18.96 seconds
Software versionpandas-profiling vv3.6.2
Download configurationconfig.json

Variables

Año
Real number (ℝ)

Distinct6
Distinct (%)1.4%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2019.5
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-01-03T11:53:08.234186image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2019.5
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.3452675
Coefficient of variation (CV)0.00066613892
Kurtosis-0.96724273
Mean2019.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum872424
Variance1.8097448
MonotonicityDecreasing
2023-01-03T11:53:08.304724image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2021 96
22.2%
2020 96
22.2%
2019 96
22.2%
2018 96
22.2%
2022 24
 
5.5%
2017 24
 
5.5%
(Missing) 1
 
0.2%
ValueCountFrequency (%)
2017 24
 
5.5%
2018 96
22.2%
2019 96
22.2%
2020 96
22.2%
2021 96
22.2%
2022 24
 
5.5%
ValueCountFrequency (%)
2022 24
 
5.5%
2021 96
22.2%
2020 96
22.2%
2019 96
22.2%
2018 96
22.2%
2017 24
 
5.5%

Trimestre
Categorical

Distinct4
Distinct (%)0.9%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
1.0
120 
4.0
120 
3.0
96 
2.0
96 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 120
27.7%
4.0 120
27.7%
3.0 96
22.2%
2.0 96
22.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:08.381423image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:08.465712image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 120
27.8%
4.0 120
27.8%
3.0 96
22.2%
2.0 96
22.2%

Most occurring characters

ValueCountFrequency (%)
. 432
33.3%
0 432
33.3%
1 120
 
9.3%
4 120
 
9.3%
3 96
 
7.4%
2 96
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 864
66.7%
Other Punctuation 432
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 432
50.0%
1 120
 
13.9%
4 120
 
13.9%
3 96
 
11.1%
2 96
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 432
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 432
33.3%
0 432
33.3%
1 120
 
9.3%
4 120
 
9.3%
3 96
 
7.4%
2 96
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 432
33.3%
0 432
33.3%
1 120
 
9.3%
4 120
 
9.3%
3 96
 
7.4%
2 96
 
7.4%

Provincia
Categorical

HIGH CORRELATION  UNIFORM 

Distinct24
Distinct (%)5.6%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
Buenos Aires
 
18
Misiones
 
18
Tucumán
 
18
Tierra Del Fuego
 
18
Santiago Del Estero
 
18
Other values (19)
342 

Length

Max length19
Median length15
Mean length8.9166667
Min length5

Characters and Unicode

Total characters3852
Distinct characters40
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBuenos Aires
2nd rowCapital Federal
3rd rowCatamarca
4th rowChaco
5th rowChubut

Common Values

ValueCountFrequency (%)
Buenos Aires 18
 
4.2%
Misiones 18
 
4.2%
Tucumán 18
 
4.2%
Tierra Del Fuego 18
 
4.2%
Santiago Del Estero 18
 
4.2%
Santa Fe 18
 
4.2%
Santa Cruz 18
 
4.2%
San Luis 18
 
4.2%
San Juan 18
 
4.2%
Salta 18
 
4.2%
Other values (14) 252
58.2%

Length

2023-01-03T11:53:08.550921image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
santa 36
 
5.3%
la 36
 
5.3%
del 36
 
5.3%
san 36
 
5.3%
formosa 18
 
2.6%
federal 18
 
2.6%
rioja 18
 
2.6%
pampa 18
 
2.6%
jujuy 18
 
2.6%
buenos 18
 
2.6%
Other values (24) 432
63.2%

Most occurring characters

ValueCountFrequency (%)
a 504
 
13.1%
e 306
 
7.9%
o 270
 
7.0%
252
 
6.5%
n 234
 
6.1%
r 234
 
6.1%
u 234
 
6.1%
t 180
 
4.7%
s 162
 
4.2%
i 162
 
4.2%
Other values (30) 1314
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2916
75.7%
Uppercase Letter 684
 
17.8%
Space Separator 252
 
6.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 504
17.3%
e 306
10.5%
o 270
9.3%
n 234
8.0%
r 234
8.0%
u 234
8.0%
t 180
 
6.2%
s 162
 
5.6%
i 162
 
5.6%
l 90
 
3.1%
Other values (15) 540
18.5%
Uppercase Letter
ValueCountFrequency (%)
C 126
18.4%
S 108
15.8%
F 72
10.5%
R 54
7.9%
L 54
7.9%
N 36
 
5.3%
J 36
 
5.3%
E 36
 
5.3%
D 36
 
5.3%
T 36
 
5.3%
Other values (4) 90
13.2%
Space Separator
ValueCountFrequency (%)
252
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3600
93.5%
Common 252
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 504
14.0%
e 306
 
8.5%
o 270
 
7.5%
n 234
 
6.5%
r 234
 
6.5%
u 234
 
6.5%
t 180
 
5.0%
s 162
 
4.5%
i 162
 
4.5%
C 126
 
3.5%
Other values (29) 1188
33.0%
Common
ValueCountFrequency (%)
252
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3762
97.7%
None 90
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 504
13.4%
e 306
 
8.1%
o 270
 
7.2%
252
 
6.7%
n 234
 
6.2%
r 234
 
6.2%
u 234
 
6.2%
t 180
 
4.8%
s 162
 
4.3%
i 162
 
4.3%
Other values (26) 1224
32.5%
None
ValueCountFrequency (%)
í 36
40.0%
é 18
20.0%
á 18
20.0%
ó 18
20.0%

Otros
Categorical

Distinct305
Distinct (%)70.6%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
76 
1,035
 
5
2,151
 
5
100
 
4
1,618
 
3
Other values (300)
339 

Length

Max length7
Median length6
Mean length4.5347222
Min length1

Characters and Unicode

Total characters1959
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)61.8%

Sample

1st row26,280
2nd row1,717
3rd row2,207
4th row7,580
5th row15,607

Common Values

ValueCountFrequency (%)
- 0 76
 
17.6%
1,035 5
 
1.2%
2,151 5
 
1.2%
100 4
 
0.9%
1,618 3
 
0.7%
3 3
 
0.7%
4,641 3
 
0.7%
36,917 3
 
0.7%
2,680 3
 
0.7%
4,500 3
 
0.7%
Other values (295) 324
74.8%

Length

2023-01-03T11:53:08.628041image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
76
 
15.0%
0 76
 
15.0%
1,035 5
 
1.0%
2,151 5
 
1.0%
100 4
 
0.8%
1,618 3
 
0.6%
3 3
 
0.6%
4,641 3
 
0.6%
36,917 3
 
0.6%
2,680 3
 
0.6%
Other values (296) 327
64.4%

Most occurring characters

ValueCountFrequency (%)
, 293
15.0%
0 223
11.4%
1 212
10.8%
2 161
8.2%
5 147
7.5%
6 144
7.4%
3 129
6.6%
4 128
6.5%
7 127
6.5%
8 123
6.3%
Other values (3) 272
13.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1514
77.3%
Other Punctuation 293
 
15.0%
Dash Punctuation 76
 
3.9%
Space Separator 76
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 223
14.7%
1 212
14.0%
2 161
10.6%
5 147
9.7%
6 144
9.5%
3 129
8.5%
4 128
8.5%
7 127
8.4%
8 123
8.1%
9 120
7.9%
Other Punctuation
ValueCountFrequency (%)
, 293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Space Separator
ValueCountFrequency (%)
76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1959
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 293
15.0%
0 223
11.4%
1 212
10.8%
2 161
8.2%
5 147
7.5%
6 144
7.4%
3 129
6.6%
4 128
6.5%
7 127
6.5%
8 123
6.3%
Other values (3) 272
13.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 293
15.0%
0 223
11.4%
1 212
10.8%
2 161
8.2%
5 147
7.5%
6 144
7.4%
3 129
6.6%
4 128
6.5%
7 127
6.5%
8 123
6.3%
Other values (3) 272
13.9%

0,256 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)3.0%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
333 
1
 
33
8
 
11
2
 
11
3
 
11
Other values (8)
 
33

Length

Max length3
Median length3
Mean length2.625
Min length1

Characters and Unicode

Total characters1134
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row19
2nd row31
3rd row- 0
4th row- 0
5th row8

Common Values

ValueCountFrequency (%)
- 0 333
76.9%
1 33
 
7.6%
8 11
 
2.5%
2 11
 
2.5%
3 11
 
2.5%
17 7
 
1.6%
30 6
 
1.4%
31 5
 
1.2%
32 4
 
0.9%
51 4
 
0.9%
Other values (3) 7
 
1.6%

Length

2023-01-03T11:53:08.705441image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
333
43.5%
0 333
43.5%
1 33
 
4.3%
8 11
 
1.4%
2 11
 
1.4%
3 11
 
1.4%
17 7
 
0.9%
30 6
 
0.8%
31 5
 
0.7%
32 4
 
0.5%
Other values (4) 11
 
1.4%

Most occurring characters

ValueCountFrequency (%)
0 342
30.2%
- 333
29.4%
333
29.4%
1 56
 
4.9%
3 26
 
2.3%
2 18
 
1.6%
8 14
 
1.2%
7 7
 
0.6%
5 4
 
0.4%
9 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 468
41.3%
Dash Punctuation 333
29.4%
Space Separator 333
29.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 342
73.1%
1 56
 
12.0%
3 26
 
5.6%
2 18
 
3.8%
8 14
 
3.0%
7 7
 
1.5%
5 4
 
0.9%
9 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 333
100.0%
Space Separator
ValueCountFrequency (%)
333
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1134
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 342
30.2%
- 333
29.4%
333
29.4%
1 56
 
4.9%
3 26
 
2.3%
2 18
 
1.6%
8 14
 
1.2%
7 7
 
0.6%
5 4
 
0.4%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 342
30.2%
- 333
29.4%
333
29.4%
1 56
 
4.9%
3 26
 
2.3%
2 18
 
1.6%
8 14
 
1.2%
7 7
 
0.6%
5 4
 
0.4%
9 1
 
0.1%

0,375 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
423 
225
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row225
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 423
97.7%
225 9
 
2.1%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:08.779881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:08.852383image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
423
49.5%
0 423
49.5%
225 9
 
1.1%

Most occurring characters

ValueCountFrequency (%)
- 423
32.6%
423
32.6%
0 423
32.6%
2 18
 
1.4%
5 9
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 450
34.7%
Dash Punctuation 423
32.6%
Space Separator 423
32.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 423
94.0%
2 18
 
4.0%
5 9
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Space Separator
ValueCountFrequency (%)
423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 423
32.6%
423
32.6%
0 423
32.6%
2 18
 
1.4%
5 9
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 423
32.6%
423
32.6%
0 423
32.6%
2 18
 
1.4%
5 9
 
0.7%

0,625 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
423 
111
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row111
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 423
97.7%
111 9
 
2.1%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:08.913696image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:08.993979image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
423
49.5%
0 423
49.5%
111 9
 
1.1%

Most occurring characters

ValueCountFrequency (%)
- 423
32.6%
423
32.6%
0 423
32.6%
1 27
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 450
34.7%
Dash Punctuation 423
32.6%
Space Separator 423
32.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 423
94.0%
1 27
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Space Separator
ValueCountFrequency (%)
423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 423
32.6%
423
32.6%
0 423
32.6%
1 27
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 423
32.6%
423
32.6%
0 423
32.6%
1 27
 
2.1%

0,5 Mbps
Categorical

HIGH CARDINALITY  HIGH CORRELATION 

Distinct97
Distinct (%)22.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
47
 
19
34
 
18
9
 
18
49
 
17
6
 
16
Other values (92)
344 

Length

Max length7
Median length2
Mean length2.3680556
Min length1

Characters and Unicode

Total characters1023
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)10.4%

Sample

1st row31,380
2nd row461
3rd row34
4th row234
5th row73

Common Values

ValueCountFrequency (%)
47 19
 
4.4%
34 18
 
4.2%
9 18
 
4.2%
49 17
 
3.9%
6 16
 
3.7%
20 16
 
3.7%
10 14
 
3.2%
22 14
 
3.2%
39 14
 
3.2%
57 13
 
3.0%
Other values (87) 273
63.0%

Length

2023-01-03T11:53:09.061208image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
47 19
 
4.4%
9 18
 
4.2%
34 18
 
4.2%
49 17
 
3.9%
20 16
 
3.7%
6 16
 
3.7%
10 14
 
3.2%
22 14
 
3.2%
39 14
 
3.2%
57 13
 
3.0%
Other values (87) 273
63.2%

Most occurring characters

ValueCountFrequency (%)
1 159
15.5%
2 122
11.9%
6 118
11.5%
4 114
11.1%
3 113
11.0%
9 103
10.1%
7 76
7.4%
0 66
6.5%
5 59
 
5.8%
8 56
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 986
96.4%
Other Punctuation 37
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 159
16.1%
2 122
12.4%
6 118
12.0%
4 114
11.6%
3 113
11.5%
9 103
10.4%
7 76
7.7%
0 66
6.7%
5 59
 
6.0%
8 56
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1023
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 159
15.5%
2 122
11.9%
6 118
11.5%
4 114
11.1%
3 113
11.0%
9 103
10.1%
7 76
7.4%
0 66
6.5%
5 59
 
5.8%
8 56
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 159
15.5%
2 122
11.9%
6 118
11.5%
4 114
11.1%
3 113
11.0%
9 103
10.1%
7 76
7.4%
0 66
6.5%
5 59
 
5.8%
8 56
 
5.5%

0,512 Mbps
Categorical

HIGH CARDINALITY  HIGH CORRELATION 

Distinct63
Distinct (%)14.6%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
190 
37
 
10
7
 
8
32
 
8
84
 
8
Other values (58)
208 

Length

Max length3
Median length3
Mean length2.4490741
Min length1

Characters and Unicode

Total characters1058
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)1.4%

Sample

1st row192
2nd row35
3rd row37
4th row2
5th row32

Common Values

ValueCountFrequency (%)
- 0 190
43.9%
37 10
 
2.3%
7 8
 
1.8%
32 8
 
1.8%
84 8
 
1.8%
36 7
 
1.6%
1 7
 
1.6%
9 6
 
1.4%
11 6
 
1.4%
3 6
 
1.4%
Other values (53) 176
40.6%

Length

2023-01-03T11:53:09.145199image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
190
30.5%
0 190
30.5%
37 10
 
1.6%
7 8
 
1.3%
32 8
 
1.3%
84 8
 
1.3%
36 7
 
1.1%
1 7
 
1.1%
61 6
 
1.0%
57 6
 
1.0%
Other values (54) 182
29.3%

Most occurring characters

ValueCountFrequency (%)
0 228
21.6%
- 190
18.0%
190
18.0%
1 90
 
8.5%
3 65
 
6.1%
2 63
 
6.0%
6 59
 
5.6%
7 48
 
4.5%
4 35
 
3.3%
9 33
 
3.1%
Other values (2) 57
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 678
64.1%
Dash Punctuation 190
 
18.0%
Space Separator 190
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 228
33.6%
1 90
 
13.3%
3 65
 
9.6%
2 63
 
9.3%
6 59
 
8.7%
7 48
 
7.1%
4 35
 
5.2%
9 33
 
4.9%
8 31
 
4.6%
5 26
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Space Separator
ValueCountFrequency (%)
190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1058
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 228
21.6%
- 190
18.0%
190
18.0%
1 90
 
8.5%
3 65
 
6.1%
2 63
 
6.0%
6 59
 
5.6%
7 48
 
4.5%
4 35
 
3.3%
9 33
 
3.1%
Other values (2) 57
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1058
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 228
21.6%
- 190
18.0%
190
18.0%
1 90
 
8.5%
3 65
 
6.1%
2 63
 
6.0%
6 59
 
5.6%
7 48
 
4.5%
4 35
 
3.3%
9 33
 
3.1%
Other values (2) 57
 
5.4%

0,75 Mbps
Categorical

HIGH CARDINALITY  HIGH CORRELATION 

Distinct95
Distinct (%)22.0%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
190 
1
54 
908
 
17
15
 
12
313
 
11
Other values (90)
148 

Length

Max length6
Median length3
Mean length2.8587963
Min length1

Characters and Unicode

Total characters1235
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)15.5%

Sample

1st row5,958
2nd row1,407
3rd row- 0
4th row- 0
5th row1,069

Common Values

ValueCountFrequency (%)
- 0 190
43.9%
1 54
 
12.5%
908 17
 
3.9%
15 12
 
2.8%
313 11
 
2.5%
191 10
 
2.3%
4 10
 
2.3%
9 7
 
1.6%
118 4
 
0.9%
113 4
 
0.9%
Other values (85) 113
26.1%

Length

2023-01-03T11:53:09.227816image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
190
30.5%
0 190
30.5%
1 54
 
8.7%
908 17
 
2.7%
15 12
 
1.9%
313 11
 
1.8%
191 10
 
1.6%
4 10
 
1.6%
9 7
 
1.1%
26,560 4
 
0.6%
Other values (86) 117
18.8%

Most occurring characters

ValueCountFrequency (%)
0 237
19.2%
- 190
15.4%
190
15.4%
1 172
13.9%
3 70
 
5.7%
9 68
 
5.5%
, 53
 
4.3%
5 52
 
4.2%
2 46
 
3.7%
8 42
 
3.4%
Other values (3) 115
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 802
64.9%
Dash Punctuation 190
 
15.4%
Space Separator 190
 
15.4%
Other Punctuation 53
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 237
29.6%
1 172
21.4%
3 70
 
8.7%
9 68
 
8.5%
5 52
 
6.5%
2 46
 
5.7%
8 42
 
5.2%
6 42
 
5.2%
7 39
 
4.9%
4 34
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1235
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 237
19.2%
- 190
15.4%
190
15.4%
1 172
13.9%
3 70
 
5.7%
9 68
 
5.5%
, 53
 
4.3%
5 52
 
4.2%
2 46
 
3.7%
8 42
 
3.4%
Other values (3) 115
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 237
19.2%
- 190
15.4%
190
15.4%
1 172
13.9%
3 70
 
5.7%
9 68
 
5.5%
, 53
 
4.3%
5 52
 
4.2%
2 46
 
3.7%
8 42
 
3.4%
Other values (3) 115
9.3%

1 Mbps
Categorical

HIGH CARDINALITY  UNIFORM 

Distinct404
Distinct (%)93.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
120
 
3
439
 
3
386
 
3
1,729
 
2
1,487
 
2
Other values (399)
419 

Length

Max length6
Median length5
Mean length4.599537
Min length2

Characters and Unicode

Total characters1987
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique379 ?
Unique (%)87.7%

Sample

1st row24,098
2nd row4,168
3rd row456
4th row988
5th row608

Common Values

ValueCountFrequency (%)
120 3
 
0.7%
439 3
 
0.7%
386 3
 
0.7%
1,729 2
 
0.5%
1,487 2
 
0.5%
28 2
 
0.5%
2,890 2
 
0.5%
1,333 2
 
0.5%
696 2
 
0.5%
1,129 2
 
0.5%
Other values (394) 409
94.5%

Length

2023-01-03T11:53:09.310833image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
120 3
 
0.7%
386 3
 
0.7%
439 3
 
0.7%
1,729 2
 
0.5%
128 2
 
0.5%
1,487 2
 
0.5%
2,641 2
 
0.5%
2,220 2
 
0.5%
5,414 2
 
0.5%
3,308 2
 
0.5%
Other values (395) 410
94.7%

Most occurring characters

ValueCountFrequency (%)
, 323
16.3%
1 275
13.8%
2 191
9.6%
6 177
8.9%
3 174
8.8%
4 165
8.3%
9 142
7.1%
8 141
7.1%
0 136
6.8%
7 134
6.7%
Other values (3) 129
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1662
83.6%
Other Punctuation 323
 
16.3%
Dash Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 275
16.5%
2 191
11.5%
6 177
10.6%
3 174
10.5%
4 165
9.9%
9 142
8.5%
8 141
8.5%
0 136
8.2%
7 134
8.1%
5 127
7.6%
Other Punctuation
ValueCountFrequency (%)
, 323
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1987
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 323
16.3%
1 275
13.8%
2 191
9.6%
6 177
8.9%
3 174
8.8%
4 165
8.3%
9 142
7.1%
8 141
7.1%
0 136
6.8%
7 134
6.7%
Other values (3) 129
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1987
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 323
16.3%
1 275
13.8%
2 191
9.6%
6 177
8.9%
3 174
8.8%
4 165
8.3%
9 142
7.1%
8 141
7.1%
0 136
6.8%
7 134
6.7%
Other values (3) 129
 
6.5%

1,2 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
428 
326
 
4

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 428
98.8%
326 4
 
0.9%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:09.386235image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:09.462000image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
428
49.8%
0 428
49.8%
326 4
 
0.5%

Most occurring characters

ValueCountFrequency (%)
- 428
33.0%
428
33.0%
0 428
33.0%
3 4
 
0.3%
2 4
 
0.3%
6 4
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
34.0%
Dash Punctuation 428
33.0%
Space Separator 428
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 428
97.3%
3 4
 
0.9%
2 4
 
0.9%
6 4
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 428
100.0%
Space Separator
ValueCountFrequency (%)
428
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 428
33.0%
428
33.0%
0 428
33.0%
3 4
 
0.3%
2 4
 
0.3%
6 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 428
33.0%
428
33.0%
0 428
33.0%
3 4
 
0.3%
2 4
 
0.3%
6 4
 
0.3%

1,25 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
423 
25
 
9

Length

Max length3
Median length3
Mean length2.9791667
Min length2

Characters and Unicode

Total characters1287
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row25
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 423
97.7%
25 9
 
2.1%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:09.523807image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:09.600709image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
423
49.5%
0 423
49.5%
25 9
 
1.1%

Most occurring characters

ValueCountFrequency (%)
- 423
32.9%
423
32.9%
0 423
32.9%
2 9
 
0.7%
5 9
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 441
34.3%
Dash Punctuation 423
32.9%
Space Separator 423
32.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 423
95.9%
2 9
 
2.0%
5 9
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Space Separator
ValueCountFrequency (%)
423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 423
32.9%
423
32.9%
0 423
32.9%
2 9
 
0.7%
5 9
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 423
32.9%
423
32.9%
0 423
32.9%
2 9
 
0.7%
5 9
 
0.7%

1,5 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)3.0%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
391 
307
 
10
7
 
7
1,348
 
4
422
 
4
Other values (8)
 
16

Length

Max length5
Median length3
Mean length2.9791667
Min length1

Characters and Unicode

Total characters1287
Distinct characters12
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st row351
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 391
90.3%
307 10
 
2.3%
7 7
 
1.6%
1,348 4
 
0.9%
422 4
 
0.9%
334 4
 
0.9%
185 3
 
0.7%
351 2
 
0.5%
380 2
 
0.5%
60 2
 
0.5%
Other values (3) 3
 
0.7%

Length

2023-01-03T11:53:09.668816image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
391
47.5%
0 391
47.5%
307 10
 
1.2%
7 7
 
0.9%
1,348 4
 
0.5%
422 4
 
0.5%
334 4
 
0.5%
185 3
 
0.4%
351 2
 
0.2%
380 2
 
0.2%
Other values (4) 5
 
0.6%

Most occurring characters

ValueCountFrequency (%)
0 405
31.5%
- 391
30.4%
391
30.4%
3 29
 
2.3%
7 17
 
1.3%
4 13
 
1.0%
8 11
 
0.9%
1 9
 
0.7%
2 8
 
0.6%
5 6
 
0.5%
Other values (2) 7
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 501
38.9%
Dash Punctuation 391
30.4%
Space Separator 391
30.4%
Other Punctuation 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 405
80.8%
3 29
 
5.8%
7 17
 
3.4%
4 13
 
2.6%
8 11
 
2.2%
1 9
 
1.8%
2 8
 
1.6%
5 6
 
1.2%
6 3
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 391
100.0%
Space Separator
ValueCountFrequency (%)
391
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 405
31.5%
- 391
30.4%
391
30.4%
3 29
 
2.3%
7 17
 
1.3%
4 13
 
1.0%
8 11
 
0.9%
1 9
 
0.7%
2 8
 
0.6%
5 6
 
0.5%
Other values (2) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 405
31.5%
- 391
30.4%
391
30.4%
3 29
 
2.3%
7 17
 
1.3%
4 13
 
1.0%
8 11
 
0.9%
1 9
 
0.7%
2 8
 
0.6%
5 6
 
0.5%
Other values (2) 7
 
0.5%

2 Mbps
Categorical

Distinct323
Distinct (%)74.8%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
38 
3
 
8
28
 
6
143
 
5
664
 
4
Other values (318)
371 

Length

Max length6
Median length5
Mean length4.1643519
Min length1

Characters and Unicode

Total characters1799
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)65.3%

Sample

1st row24,766
2nd row316
3rd row144
4th row1,007
5th row5,624

Common Values

ValueCountFrequency (%)
- 0 38
 
8.8%
3 8
 
1.8%
28 6
 
1.4%
143 5
 
1.2%
664 4
 
0.9%
667 4
 
0.9%
163 4
 
0.9%
6 4
 
0.9%
2,142 3
 
0.7%
2,661 3
 
0.7%
Other values (313) 353
81.5%

Length

2023-01-03T11:53:09.744853image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
38
 
8.1%
0 38
 
8.1%
3 8
 
1.7%
28 6
 
1.3%
143 5
 
1.1%
664 4
 
0.9%
667 4
 
0.9%
163 4
 
0.9%
6 4
 
0.9%
2,228 3
 
0.6%
Other values (314) 356
75.7%

Most occurring characters

ValueCountFrequency (%)
, 261
14.5%
1 215
12.0%
2 189
10.5%
3 157
8.7%
4 147
8.2%
0 138
7.7%
6 135
7.5%
8 132
7.3%
5 128
7.1%
7 124
6.9%
Other values (3) 173
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1462
81.3%
Other Punctuation 261
 
14.5%
Dash Punctuation 38
 
2.1%
Space Separator 38
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 215
14.7%
2 189
12.9%
3 157
10.7%
4 147
10.1%
0 138
9.4%
6 135
9.2%
8 132
9.0%
5 128
8.8%
7 124
8.5%
9 97
6.6%
Other Punctuation
ValueCountFrequency (%)
, 261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1799
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 261
14.5%
1 215
12.0%
2 189
10.5%
3 157
8.7%
4 147
8.2%
0 138
7.7%
6 135
7.5%
8 132
7.3%
5 128
7.1%
7 124
6.9%
Other values (3) 173
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1799
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 261
14.5%
1 215
12.0%
2 189
10.5%
3 157
8.7%
4 147
8.2%
0 138
7.7%
6 135
7.5%
8 132
7.3%
5 128
7.1%
7 124
6.9%
Other values (3) 173
9.6%

2,2 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
422 
27
 
8
26
 
2

Length

Max length3
Median length3
Mean length2.9768519
Min length2

Characters and Unicode

Total characters1286
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 422
97.5%
27 8
 
1.8%
26 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:09.813962image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:09.896248image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
422
49.4%
0 422
49.4%
27 8
 
0.9%
26 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 422
32.8%
422
32.8%
0 422
32.8%
2 10
 
0.8%
7 8
 
0.6%
6 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 442
34.4%
Dash Punctuation 422
32.8%
Space Separator 422
32.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 422
95.5%
2 10
 
2.3%
7 8
 
1.8%
6 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 422
100.0%
Space Separator
ValueCountFrequency (%)
422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 422
32.8%
422
32.8%
0 422
32.8%
2 10
 
0.8%
7 8
 
0.6%
6 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 422
32.8%
422
32.8%
0 422
32.8%
2 10
 
0.8%
7 8
 
0.6%
6 2
 
0.2%

2,5 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
- 0
411 
907
 
4
113
 
4
35
 
4
31
 
3
Other values (5)
 
7

Length

Max length5
Median length3
Mean length2.9907621
Min length1

Characters and Unicode

Total characters1295
Distinct characters12
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.9%

Sample

1st row25
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 411
94.9%
907 4
 
0.9%
113 4
 
0.9%
35 4
 
0.9%
31 3
 
0.7%
1,158 3
 
0.7%
25 1
 
0.2%
154 1
 
0.2%
787 1
 
0.2%
0 1
 
0.2%

Length

2023-01-03T11:53:09.967312image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:10.067794image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
0 412
48.8%
411
48.7%
907 4
 
0.5%
113 4
 
0.5%
35 4
 
0.5%
31 3
 
0.4%
1,158 3
 
0.4%
25 1
 
0.1%
154 1
 
0.1%
787 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 416
32.1%
- 411
31.7%
411
31.7%
1 18
 
1.4%
3 11
 
0.8%
5 9
 
0.7%
7 6
 
0.5%
9 4
 
0.3%
8 4
 
0.3%
, 3
 
0.2%
Other values (2) 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
36.3%
Dash Punctuation 411
31.7%
Space Separator 411
31.7%
Other Punctuation 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 416
88.5%
1 18
 
3.8%
3 11
 
2.3%
5 9
 
1.9%
7 6
 
1.3%
9 4
 
0.9%
8 4
 
0.9%
2 1
 
0.2%
4 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 411
100.0%
Space Separator
ValueCountFrequency (%)
411
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 416
32.1%
- 411
31.7%
411
31.7%
1 18
 
1.4%
3 11
 
0.8%
5 9
 
0.7%
7 6
 
0.5%
9 4
 
0.3%
8 4
 
0.3%
, 3
 
0.2%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 416
32.1%
- 411
31.7%
411
31.7%
1 18
 
1.4%
3 11
 
0.8%
5 9
 
0.7%
7 6
 
0.5%
9 4
 
0.3%
8 4
 
0.3%
, 3
 
0.2%
Other values (2) 2
 
0.2%

6,7 Mbps
Categorical

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
432 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters3
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 432
99.8%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:10.145880image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:10.217223image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
432
50.0%
0 432
50.0%

Most occurring characters

ValueCountFrequency (%)
- 432
33.3%
432
33.3%
0 432
33.3%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 432
33.3%
Space Separator 432
33.3%
Decimal Number 432
33.3%

Most frequent character per category

Dash Punctuation
ValueCountFrequency (%)
- 432
100.0%
Space Separator
ValueCountFrequency (%)
432
100.0%
Decimal Number
ValueCountFrequency (%)
0 432
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 432
33.3%
432
33.3%
0 432
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 432
33.3%
432
33.3%
0 432
33.3%

3 Mbps
Categorical

HIGH CARDINALITY  UNIFORM 

Distinct408
Distinct (%)94.4%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
5,910
 
3
27
 
3
4,811
 
3
43
 
3
839
 
2
Other values (403)
418 

Length

Max length7
Median length5
Mean length5.0648148
Min length1

Characters and Unicode

Total characters2188
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique388 ?
Unique (%)89.8%

Sample

1st row65,112
2nd row5,393
3rd row1,542
4th row4,776
5th row18,839

Common Values

ValueCountFrequency (%)
5,910 3
 
0.7%
27 3
 
0.7%
4,811 3
 
0.7%
43 3
 
0.7%
839 2
 
0.5%
8 2
 
0.5%
963 2
 
0.5%
525 2
 
0.5%
5 2
 
0.5%
5,669 2
 
0.5%
Other values (398) 408
94.2%

Length

2023-01-03T11:53:10.278290image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5,910 3
 
0.7%
4,811 3
 
0.7%
43 3
 
0.7%
27 3
 
0.7%
7,760 2
 
0.5%
4,230 2
 
0.5%
2,109 2
 
0.5%
12,499 2
 
0.5%
958 2
 
0.5%
3,326 2
 
0.5%
Other values (398) 408
94.4%

Most occurring characters

ValueCountFrequency (%)
, 378
17.3%
1 279
12.8%
5 193
8.8%
2 187
8.5%
6 175
8.0%
9 169
7.7%
0 167
7.6%
7 165
7.5%
4 164
7.5%
3 158
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1810
82.7%
Other Punctuation 378
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 279
15.4%
5 193
10.7%
2 187
10.3%
6 175
9.7%
9 169
9.3%
0 167
9.2%
7 165
9.1%
4 164
9.1%
3 158
8.7%
8 153
8.5%
Other Punctuation
ValueCountFrequency (%)
, 378
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2188
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 378
17.3%
1 279
12.8%
5 193
8.8%
2 187
8.5%
6 175
8.0%
9 169
7.7%
0 167
7.6%
7 165
7.5%
4 164
7.5%
3 158
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2188
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 378
17.3%
1 279
12.8%
5 193
8.8%
2 187
8.5%
6 175
8.0%
9 169
7.7%
0 167
7.6%
7 165
7.5%
4 164
7.5%
3 158
7.2%

3,2 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
428 
65
 
4

Length

Max length3
Median length3
Mean length2.9907407
Min length2

Characters and Unicode

Total characters1292
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 428
98.8%
65 4
 
0.9%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:10.347953image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:10.438184image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
428
49.8%
0 428
49.8%
65 4
 
0.5%

Most occurring characters

ValueCountFrequency (%)
- 428
33.1%
428
33.1%
0 428
33.1%
6 4
 
0.3%
5 4
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 436
33.7%
Dash Punctuation 428
33.1%
Space Separator 428
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 428
98.2%
6 4
 
0.9%
5 4
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 428
100.0%
Space Separator
ValueCountFrequency (%)
428
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 428
33.1%
428
33.1%
0 428
33.1%
6 4
 
0.3%
5 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 428
33.1%
428
33.1%
0 428
33.1%
6 4
 
0.3%
5 4
 
0.3%

3,3 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
426 
6
 
6

Length

Max length3
Median length3
Mean length2.9722222
Min length1

Characters and Unicode

Total characters1284
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 426
98.4%
6 6
 
1.4%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:10.507767image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:10.589995image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
426
49.7%
0 426
49.7%
6 6
 
0.7%

Most occurring characters

ValueCountFrequency (%)
- 426
33.2%
426
33.2%
0 426
33.2%
6 6
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.6%
Dash Punctuation 426
33.2%
Space Separator 426
33.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
98.6%
6 6
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%
Space Separator
ValueCountFrequency (%)
426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 426
33.2%
426
33.2%
0 426
33.2%
6 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 426
33.2%
426
33.2%
0 426
33.2%
6 6
 
0.5%

3,5 Mbps
Categorical

Distinct146
Distinct (%)33.8%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
120 
1
 
23
2,890
 
15
2
 
14
1,184
 
11
Other values (141)
249 

Length

Max length7
Median length6
Mean length3.7199074
Min length1

Characters and Unicode

Total characters1607
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)21.8%

Sample

1st row50,532
2nd row13,670
3rd row- 0
4th row167
5th row12,765

Common Values

ValueCountFrequency (%)
- 0 120
27.7%
1 23
 
5.3%
2,890 15
 
3.5%
2 14
 
3.2%
1,184 11
 
2.5%
73 10
 
2.3%
70 8
 
1.8%
31,589 8
 
1.8%
2,188 8
 
1.8%
6,938 7
 
1.6%
Other values (136) 208
48.0%

Length

2023-01-03T11:53:10.657575image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
120
21.7%
0 120
21.7%
1 23
 
4.2%
2,890 15
 
2.7%
2 14
 
2.5%
1,184 11
 
2.0%
73 10
 
1.8%
2,188 8
 
1.4%
31,589 8
 
1.4%
70 8
 
1.4%
Other values (137) 215
38.9%

Most occurring characters

ValueCountFrequency (%)
0 205
12.8%
, 189
11.8%
1 188
11.7%
2 151
9.4%
- 120
7.5%
120
7.5%
8 115
7.2%
3 103
6.4%
9 100
6.2%
7 86
 
5.4%
Other values (3) 230
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1178
73.3%
Other Punctuation 189
 
11.8%
Dash Punctuation 120
 
7.5%
Space Separator 120
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 205
17.4%
1 188
16.0%
2 151
12.8%
8 115
9.8%
3 103
8.7%
9 100
8.5%
7 86
7.3%
4 83
7.0%
6 76
 
6.5%
5 71
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1607
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 205
12.8%
, 189
11.8%
1 188
11.7%
2 151
9.4%
- 120
7.5%
120
7.5%
8 115
7.2%
3 103
6.4%
9 100
6.2%
7 86
 
5.4%
Other values (3) 230
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 205
12.8%
, 189
11.8%
1 188
11.7%
2 151
9.4%
- 120
7.5%
120
7.5%
8 115
7.2%
3 103
6.4%
9 100
6.2%
7 86
 
5.4%
Other values (3) 230
14.3%

4 Mbps
Categorical

Distinct247
Distinct (%)57.2%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
54 
1
 
10
310
 
6
962
 
5
910
 
5
Other values (242)
352 

Length

Max length6
Median length5
Mean length3.9791667
Min length1

Characters and Unicode

Total characters1719
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)41.0%

Sample

1st row13,729
2nd row992
3rd row- 0
4th row368
5th row5,529

Common Values

ValueCountFrequency (%)
- 0 54
 
12.5%
1 10
 
2.3%
310 6
 
1.4%
962 5
 
1.2%
910 5
 
1.2%
2,979 5
 
1.2%
10 5
 
1.2%
385 5
 
1.2%
693 5
 
1.2%
1,051 4
 
0.9%
Other values (237) 328
75.8%

Length

2023-01-03T11:53:10.732860image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
54
 
11.1%
0 54
 
11.1%
1 10
 
2.1%
310 6
 
1.2%
962 5
 
1.0%
910 5
 
1.0%
2,979 5
 
1.0%
10 5
 
1.0%
385 5
 
1.0%
693 5
 
1.0%
Other values (238) 332
68.3%

Most occurring characters

ValueCountFrequency (%)
, 217
12.6%
1 213
12.4%
2 185
10.8%
0 150
8.7%
3 141
8.2%
9 135
7.9%
6 129
7.5%
4 120
7.0%
5 117
6.8%
8 109
6.3%
Other values (3) 203
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1394
81.1%
Other Punctuation 217
 
12.6%
Dash Punctuation 54
 
3.1%
Space Separator 54
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 213
15.3%
2 185
13.3%
0 150
10.8%
3 141
10.1%
9 135
9.7%
6 129
9.3%
4 120
8.6%
5 117
8.4%
8 109
7.8%
7 95
6.8%
Other Punctuation
ValueCountFrequency (%)
, 217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1719
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 217
12.6%
1 213
12.4%
2 185
10.8%
0 150
8.7%
3 141
8.2%
9 135
7.9%
6 129
7.5%
4 120
7.0%
5 117
6.8%
8 109
6.3%
Other values (3) 203
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 217
12.6%
1 213
12.4%
2 185
10.8%
0 150
8.7%
3 141
8.2%
9 135
7.9%
6 129
7.5%
4 120
7.0%
5 117
6.8%
8 109
6.3%
Other values (3) 203
11.8%

4,5 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
431 
65
 
1

Length

Max length3
Median length3
Mean length2.9976852
Min length2

Characters and Unicode

Total characters1295
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row65
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 431
99.5%
65 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:10.800448image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:10.877047image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
431
49.9%
0 431
49.9%
65 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 431
33.3%
431
33.3%
0 431
33.3%
6 1
 
0.1%
5 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 433
33.4%
Dash Punctuation 431
33.3%
Space Separator 431
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 431
99.5%
6 1
 
0.2%
5 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 431
100.0%
Space Separator
ValueCountFrequency (%)
431
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 431
33.3%
431
33.3%
0 431
33.3%
6 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 431
33.3%
431
33.3%
0 431
33.3%
6 1
 
0.1%
5 1
 
0.1%

5 Mbps
Categorical

Distinct336
Distinct (%)77.8%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
 
23
1
 
12
3
 
5
4
 
5
1,558
 
4
Other values (331)
383 

Length

Max length6
Median length5
Mean length3.9768519
Min length1

Characters and Unicode

Total characters1718
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)66.9%

Sample

1st row34,623
2nd row3,506
3rd row18
4th row1,757
5th row2,415

Common Values

ValueCountFrequency (%)
- 0 23
 
5.3%
1 12
 
2.8%
3 5
 
1.2%
4 5
 
1.2%
1,558 4
 
0.9%
342 4
 
0.9%
6 4
 
0.9%
1,611 3
 
0.7%
162 3
 
0.7%
1,335 3
 
0.7%
Other values (326) 366
84.5%

Length

2023-01-03T11:53:10.939955image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23
 
5.1%
0 23
 
5.1%
1 12
 
2.6%
3 5
 
1.1%
4 5
 
1.1%
1,558 4
 
0.9%
342 4
 
0.9%
6 4
 
0.9%
4,090 3
 
0.7%
48 3
 
0.7%
Other values (327) 369
81.1%

Most occurring characters

ValueCountFrequency (%)
1 248
14.4%
, 234
13.6%
2 180
10.5%
3 170
9.9%
4 155
9.0%
5 150
8.7%
0 137
8.0%
6 109
6.3%
9 104
6.1%
8 97
 
5.6%
Other values (3) 134
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1438
83.7%
Other Punctuation 234
 
13.6%
Dash Punctuation 23
 
1.3%
Space Separator 23
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 248
17.2%
2 180
12.5%
3 170
11.8%
4 155
10.8%
5 150
10.4%
0 137
9.5%
6 109
7.6%
9 104
7.2%
8 97
 
6.7%
7 88
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1718
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 248
14.4%
, 234
13.6%
2 180
10.5%
3 170
9.9%
4 155
9.0%
5 150
8.7%
0 137
8.0%
6 109
6.3%
9 104
6.1%
8 97
 
5.6%
Other values (3) 134
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1718
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 248
14.4%
, 234
13.6%
2 180
10.5%
3 170
9.9%
4 155
9.0%
5 150
8.7%
0 137
8.0%
6 109
6.3%
9 104
6.1%
8 97
 
5.6%
Other values (3) 134
7.8%

6 Mbps
Categorical

HIGH CARDINALITY  UNIFORM 

Distinct420
Distinct (%)97.2%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
12,443
 
3
53,638
 
2
6,481
 
2
18,613
 
2
18,504
 
2
Other values (415)
421 

Length

Max length9
Median length6
Mean length6.0231481
Min length5

Characters and Unicode

Total characters2602
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique409 ?
Unique (%)94.7%

Sample

1st row124,179
2nd row16,041
3rd row2,682
4th row8,788
5th row16,197

Common Values

ValueCountFrequency (%)
12,443 3
 
0.7%
53,638 2
 
0.5%
6,481 2
 
0.5%
18,613 2
 
0.5%
18,504 2
 
0.5%
7,006 2
 
0.5%
13,147 2
 
0.5%
34,783 2
 
0.5%
11,685 2
 
0.5%
18,058 2
 
0.5%
Other values (410) 411
94.9%

Length

2023-01-03T11:53:11.012726image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12,443 3
 
0.7%
6,481 2
 
0.5%
18,613 2
 
0.5%
18,504 2
 
0.5%
7,006 2
 
0.5%
13,147 2
 
0.5%
34,783 2
 
0.5%
11,685 2
 
0.5%
18,058 2
 
0.5%
9,085 2
 
0.5%
Other values (410) 411
95.1%

Most occurring characters

ValueCountFrequency (%)
, 440
16.9%
1 362
13.9%
4 219
8.4%
2 209
8.0%
5 209
8.0%
3 208
8.0%
8 202
7.8%
7 193
7.4%
0 189
7.3%
9 186
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2162
83.1%
Other Punctuation 440
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 362
16.7%
4 219
10.1%
2 209
9.7%
5 209
9.7%
3 208
9.6%
8 202
9.3%
7 193
8.9%
0 189
8.7%
9 186
8.6%
6 185
8.6%
Other Punctuation
ValueCountFrequency (%)
, 440
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2602
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 440
16.9%
1 362
13.9%
4 219
8.4%
2 209
8.0%
5 209
8.0%
3 208
8.0%
8 202
7.8%
7 193
7.4%
0 189
7.3%
9 186
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2602
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 440
16.9%
1 362
13.9%
4 219
8.4%
2 209
8.0%
5 209
8.0%
3 208
8.0%
8 202
7.8%
7 193
7.4%
0 189
7.3%
9 186
7.1%

6,4 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
426 
14
 
4
13
 
2

Length

Max length3
Median length3
Mean length2.9861111
Min length2

Characters and Unicode

Total characters1290
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 426
98.4%
14 4
 
0.9%
13 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:11.090465image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:11.171229image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
426
49.7%
0 426
49.7%
14 4
 
0.5%
13 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 426
33.0%
426
33.0%
0 426
33.0%
1 6
 
0.5%
4 4
 
0.3%
3 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 438
34.0%
Dash Punctuation 426
33.0%
Space Separator 426
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
97.3%
1 6
 
1.4%
4 4
 
0.9%
3 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%
Space Separator
ValueCountFrequency (%)
426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 426
33.0%
426
33.0%
0 426
33.0%
1 6
 
0.5%
4 4
 
0.3%
3 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 426
33.0%
426
33.0%
0 426
33.0%
1 6
 
0.5%
4 4
 
0.3%
3 2
 
0.2%

7 Mbps
Categorical

Distinct148
Distinct (%)34.3%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
176 
2
 
18
6
 
9
1
 
7
10
 
6
Other values (143)
216 

Length

Max length6
Median length3
Mean length3.0763889
Min length1

Characters and Unicode

Total characters1329
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)23.1%

Sample

1st row11,296
2nd row7
3rd row2
4th row575
5th row180

Common Values

ValueCountFrequency (%)
- 0 176
40.6%
2 18
 
4.2%
6 9
 
2.1%
1 7
 
1.6%
10 6
 
1.4%
45 5
 
1.2%
122 4
 
0.9%
134 4
 
0.9%
304 4
 
0.9%
21 4
 
0.9%
Other values (138) 195
45.0%

Length

2023-01-03T11:53:11.247156image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
176
28.9%
0 176
28.9%
2 18
 
3.0%
6 9
 
1.5%
1 7
 
1.2%
10 6
 
1.0%
45 5
 
0.8%
122 4
 
0.7%
134 4
 
0.7%
304 4
 
0.7%
Other values (139) 199
32.7%

Most occurring characters

ValueCountFrequency (%)
0 219
16.5%
- 176
13.2%
176
13.2%
1 154
11.6%
2 128
9.6%
3 82
 
6.2%
, 74
 
5.6%
4 67
 
5.0%
6 65
 
4.9%
5 55
 
4.1%
Other values (3) 133
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 903
67.9%
Dash Punctuation 176
 
13.2%
Space Separator 176
 
13.2%
Other Punctuation 74
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 219
24.3%
1 154
17.1%
2 128
14.2%
3 82
 
9.1%
4 67
 
7.4%
6 65
 
7.2%
5 55
 
6.1%
9 46
 
5.1%
8 46
 
5.1%
7 41
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Space Separator
ValueCountFrequency (%)
176
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1329
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 219
16.5%
- 176
13.2%
176
13.2%
1 154
11.6%
2 128
9.6%
3 82
 
6.2%
, 74
 
5.6%
4 67
 
5.0%
6 65
 
4.9%
5 55
 
4.1%
Other values (3) 133
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 219
16.5%
- 176
13.2%
176
13.2%
1 154
11.6%
2 128
9.6%
3 82
 
6.2%
, 74
 
5.6%
4 67
 
5.0%
6 65
 
4.9%
5 55
 
4.1%
Other values (3) 133
10.0%

7,5 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
426 
96
 
4
289
 
1
241
 
1

Length

Max length3
Median length3
Mean length2.9907407
Min length2

Characters and Unicode

Total characters1292
Distinct characters9
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row289
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 426
98.4%
96 4
 
0.9%
289 1
 
0.2%
241 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:11.327097image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:11.419010image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
426
49.7%
0 426
49.7%
96 4
 
0.5%
289 1
 
0.1%
241 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 426
33.0%
426
33.0%
0 426
33.0%
9 5
 
0.4%
6 4
 
0.3%
2 2
 
0.2%
8 1
 
0.1%
4 1
 
0.1%
1 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
34.1%
Dash Punctuation 426
33.0%
Space Separator 426
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
96.8%
9 5
 
1.1%
6 4
 
0.9%
2 2
 
0.5%
8 1
 
0.2%
4 1
 
0.2%
1 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%
Space Separator
ValueCountFrequency (%)
426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 426
33.0%
426
33.0%
0 426
33.0%
9 5
 
0.4%
6 4
 
0.3%
2 2
 
0.2%
8 1
 
0.1%
4 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 426
33.0%
426
33.0%
0 426
33.0%
9 5
 
0.4%
6 4
 
0.3%
2 2
 
0.2%
8 1
 
0.1%
4 1
 
0.1%
1 1
 
0.1%

8 Mbps
Categorical

Distinct212
Distinct (%)49.1%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
81 
2
 
14
3
 
13
1
 
12
149
 
9
Other values (207)
303 

Length

Max length6
Median length5
Mean length3.5208333
Min length1

Characters and Unicode

Total characters1521
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)35.0%

Sample

1st row74,897
2nd row18,196
3rd row- 0
4th row1,248
5th row13,196

Common Values

ValueCountFrequency (%)
- 0 81
 
18.7%
2 14
 
3.2%
3 13
 
3.0%
1 12
 
2.8%
149 9
 
2.1%
41 5
 
1.2%
10 5
 
1.2%
189 4
 
0.9%
12 4
 
0.9%
268 4
 
0.9%
Other values (202) 281
64.9%

Length

2023-01-03T11:53:11.491642image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
81
 
15.8%
0 81
 
15.8%
2 14
 
2.7%
3 13
 
2.5%
1 12
 
2.3%
149 9
 
1.8%
41 5
 
1.0%
10 5
 
1.0%
2,899 4
 
0.8%
232 4
 
0.8%
Other values (203) 285
55.6%

Most occurring characters

ValueCountFrequency (%)
1 221
14.5%
0 167
11.0%
, 157
10.3%
2 144
9.5%
9 116
7.6%
8 112
7.4%
3 107
7.0%
5 85
 
5.6%
6 84
 
5.5%
4 83
 
5.5%
Other values (3) 245
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1202
79.0%
Other Punctuation 157
 
10.3%
Dash Punctuation 81
 
5.3%
Space Separator 81
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 221
18.4%
0 167
13.9%
2 144
12.0%
9 116
9.7%
8 112
9.3%
3 107
8.9%
5 85
 
7.1%
6 84
 
7.0%
4 83
 
6.9%
7 83
 
6.9%
Other Punctuation
ValueCountFrequency (%)
, 157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Space Separator
ValueCountFrequency (%)
81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1521
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 221
14.5%
0 167
11.0%
, 157
10.3%
2 144
9.5%
9 116
7.6%
8 112
7.4%
3 107
7.0%
5 85
 
5.6%
6 84
 
5.5%
4 83
 
5.5%
Other values (3) 245
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1521
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 221
14.5%
0 167
11.0%
, 157
10.3%
2 144
9.5%
9 116
7.6%
8 112
7.4%
3 107
7.0%
5 85
 
5.6%
6 84
 
5.5%
4 83
 
5.5%
Other values (3) 245
16.1%

9 Mbps
Categorical

Distinct110
Distinct (%)25.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
231 
1
 
22
3
 
18
5
 
7
763
 
5
Other values (105)
149 

Length

Max length6
Median length3
Mean length2.8842593
Min length1

Characters and Unicode

Total characters1246
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)16.9%

Sample

1st row231
2nd row3
3rd row3
4th row1
5th row638

Common Values

ValueCountFrequency (%)
- 0 231
53.3%
1 22
 
5.1%
3 18
 
4.2%
5 7
 
1.6%
763 5
 
1.2%
82 4
 
0.9%
493 4
 
0.9%
14 4
 
0.9%
7 4
 
0.9%
15 3
 
0.7%
Other values (100) 130
30.0%

Length

2023-01-03T11:53:11.561472image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
231
34.8%
0 231
34.8%
1 22
 
3.3%
3 18
 
2.7%
5 7
 
1.1%
763 5
 
0.8%
82 4
 
0.6%
493 4
 
0.6%
14 4
 
0.6%
7 4
 
0.6%
Other values (101) 133
20.1%

Most occurring characters

ValueCountFrequency (%)
0 262
21.0%
- 231
18.5%
231
18.5%
1 92
 
7.4%
3 75
 
6.0%
2 58
 
4.7%
, 52
 
4.2%
4 50
 
4.0%
8 44
 
3.5%
7 42
 
3.4%
Other values (3) 109
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 732
58.7%
Dash Punctuation 231
 
18.5%
Space Separator 231
 
18.5%
Other Punctuation 52
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 262
35.8%
1 92
 
12.6%
3 75
 
10.2%
2 58
 
7.9%
4 50
 
6.8%
8 44
 
6.0%
7 42
 
5.7%
5 41
 
5.6%
6 41
 
5.6%
9 27
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%
Space Separator
ValueCountFrequency (%)
231
100.0%
Other Punctuation
ValueCountFrequency (%)
, 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 262
21.0%
- 231
18.5%
231
18.5%
1 92
 
7.4%
3 75
 
6.0%
2 58
 
4.7%
, 52
 
4.2%
4 50
 
4.0%
8 44
 
3.5%
7 42
 
3.4%
Other values (3) 109
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 262
21.0%
- 231
18.5%
231
18.5%
1 92
 
7.4%
3 75
 
6.0%
2 58
 
4.7%
, 52
 
4.2%
4 50
 
4.0%
8 44
 
3.5%
7 42
 
3.4%
Other values (3) 109
8.7%

10 Mbps
Categorical

HIGH CARDINALITY  UNIFORM 

Distinct400
Distinct (%)92.6%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
8
 
9
1
 
7
653
 
4
2
 
4
111
 
2
Other values (395)
406 

Length

Max length7
Median length6
Mean length5.1990741
Min length1

Characters and Unicode

Total characters2246
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique384 ?
Unique (%)88.9%

Sample

1st row235,043
2nd row59,184
3rd row7,004
4th row19,411
5th row17,842

Common Values

ValueCountFrequency (%)
8 9
 
2.1%
1 7
 
1.6%
653 4
 
0.9%
2 4
 
0.9%
111 2
 
0.5%
16,161 2
 
0.5%
98 2
 
0.5%
97 2
 
0.5%
116 2
 
0.5%
15,803 2
 
0.5%
Other values (390) 396
91.5%

Length

2023-01-03T11:53:11.635557image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8 9
 
2.1%
1 7
 
1.6%
653 4
 
0.9%
2 4
 
0.9%
7,810 2
 
0.5%
143 2
 
0.5%
8,440 2
 
0.5%
4,088 2
 
0.5%
19 2
 
0.5%
1,683 2
 
0.5%
Other values (390) 396
91.7%

Most occurring characters

ValueCountFrequency (%)
, 369
16.4%
1 271
12.1%
2 218
9.7%
4 193
8.6%
5 191
8.5%
8 183
8.1%
6 181
8.1%
9 174
7.7%
7 163
7.3%
3 153
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1877
83.6%
Other Punctuation 369
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 271
14.4%
2 218
11.6%
4 193
10.3%
5 191
10.2%
8 183
9.7%
6 181
9.6%
9 174
9.3%
7 163
8.7%
3 153
8.2%
0 150
8.0%
Other Punctuation
ValueCountFrequency (%)
, 369
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 369
16.4%
1 271
12.1%
2 218
9.7%
4 193
8.6%
5 191
8.5%
8 183
8.1%
6 181
8.1%
9 174
7.7%
7 163
7.3%
3 153
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 369
16.4%
1 271
12.1%
2 218
9.7%
4 193
8.6%
5 191
8.5%
8 183
8.1%
6 181
8.1%
9 174
7.7%
7 163
7.3%
3 153
6.8%

10,6 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
424 
1
 
8

Length

Max length3
Median length3
Mean length2.962963
Min length1

Characters and Unicode

Total characters1280
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 424
97.9%
1 8
 
1.8%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:11.709773image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:11.797251image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
424
49.5%
0 424
49.5%
1 8
 
0.9%

Most occurring characters

ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 8
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.8%
Dash Punctuation 424
33.1%
Space Separator 424
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
98.1%
1 8
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 424
100.0%
Space Separator
ValueCountFrequency (%)
424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 8
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 8
 
0.6%

11 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)3.2%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
354 
2
 
20
5
 
16
4
 
14
1
 
7
Other values (9)
 
21

Length

Max length3
Median length3
Mean length2.6597222
Min length1

Characters and Unicode

Total characters1149
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row10
2nd row5
3rd row- 0
4th row- 0
5th row1

Common Values

ValueCountFrequency (%)
- 0 354
81.8%
2 20
 
4.6%
5 16
 
3.7%
4 14
 
3.2%
1 7
 
1.6%
6 6
 
1.4%
22 3
 
0.7%
10 2
 
0.5%
88 2
 
0.5%
8 2
 
0.5%
Other values (4) 6
 
1.4%

Length

2023-01-03T11:53:11.870033image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
354
45.0%
0 354
45.0%
2 20
 
2.5%
5 16
 
2.0%
4 14
 
1.8%
1 7
 
0.9%
6 6
 
0.8%
22 3
 
0.4%
10 2
 
0.3%
88 2
 
0.3%
Other values (5) 8
 
1.0%

Most occurring characters

ValueCountFrequency (%)
0 356
31.0%
- 354
30.8%
354
30.8%
2 26
 
2.3%
5 16
 
1.4%
4 14
 
1.2%
1 10
 
0.9%
6 7
 
0.6%
8 7
 
0.6%
9 3
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 441
38.4%
Dash Punctuation 354
30.8%
Space Separator 354
30.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 356
80.7%
2 26
 
5.9%
5 16
 
3.6%
4 14
 
3.2%
1 10
 
2.3%
6 7
 
1.6%
8 7
 
1.6%
9 3
 
0.7%
7 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 354
100.0%
Space Separator
ValueCountFrequency (%)
354
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1149
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 356
31.0%
- 354
30.8%
354
30.8%
2 26
 
2.3%
5 16
 
1.4%
4 14
 
1.2%
1 10
 
0.9%
6 7
 
0.6%
8 7
 
0.6%
9 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 356
31.0%
- 354
30.8%
354
30.8%
2 26
 
2.3%
5 16
 
1.4%
4 14
 
1.2%
1 10
 
0.9%
6 7
 
0.6%
8 7
 
0.6%
9 3
 
0.3%

12 Mbps
Categorical

Distinct351
Distinct (%)81.2%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
38 
22,759
 
10
393
 
3
78
 
3
4
 
3
Other values (346)
375 

Length

Max length7
Median length6
Mean length4.7314815
Min length1

Characters and Unicode

Total characters2044
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique317 ?
Unique (%)73.4%

Sample

1st row32,963
2nd row4,423
3rd row3,181
4th row2,161
5th row13,910

Common Values

ValueCountFrequency (%)
- 0 38
 
8.8%
22,759 10
 
2.3%
393 3
 
0.7%
78 3
 
0.7%
4 3
 
0.7%
72 2
 
0.5%
754 2
 
0.5%
218 2
 
0.5%
1,006 2
 
0.5%
109 2
 
0.5%
Other values (341) 365
84.3%

Length

2023-01-03T11:53:11.954465image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
38
 
8.1%
0 38
 
8.1%
22,759 10
 
2.1%
393 3
 
0.6%
78 3
 
0.6%
4 3
 
0.6%
1 2
 
0.4%
9,346 2
 
0.4%
3,551 2
 
0.4%
20,184 2
 
0.4%
Other values (342) 367
78.1%

Most occurring characters

ValueCountFrequency (%)
, 299
14.6%
1 234
11.4%
2 207
10.1%
4 170
8.3%
3 165
8.1%
0 161
7.9%
7 161
7.9%
5 160
7.8%
8 142
6.9%
6 136
6.7%
Other values (3) 209
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1669
81.7%
Other Punctuation 299
 
14.6%
Dash Punctuation 38
 
1.9%
Space Separator 38
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 234
14.0%
2 207
12.4%
4 170
10.2%
3 165
9.9%
0 161
9.6%
7 161
9.6%
5 160
9.6%
8 142
8.5%
6 136
8.1%
9 133
8.0%
Other Punctuation
ValueCountFrequency (%)
, 299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2044
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 299
14.6%
1 234
11.4%
2 207
10.1%
4 170
8.3%
3 165
8.1%
0 161
7.9%
7 161
7.9%
5 160
7.8%
8 142
6.9%
6 136
6.7%
Other values (3) 209
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2044
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 299
14.6%
1 234
11.4%
2 207
10.1%
4 170
8.3%
3 165
8.1%
0 161
7.9%
7 161
7.9%
5 160
7.8%
8 142
6.9%
6 136
6.7%
Other values (3) 209
10.2%

13 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)3.0%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
383 
2
 
12
1
 
11
4
 
7
1,281
 
5
Other values (8)
 
14

Length

Max length5
Median length3
Mean length2.8819444
Min length1

Characters and Unicode

Total characters1245
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.9%

Sample

1st row128
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 383
88.5%
2 12
 
2.8%
1 11
 
2.5%
4 7
 
1.6%
1,281 5
 
1.2%
68 3
 
0.7%
1,775 3
 
0.7%
128 2
 
0.5%
154 2
 
0.5%
35 1
 
0.2%
Other values (3) 3
 
0.7%

Length

2023-01-03T11:53:12.035934image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
383
47.0%
0 383
47.0%
2 12
 
1.5%
1 11
 
1.3%
4 7
 
0.9%
1,281 5
 
0.6%
68 3
 
0.4%
1,775 3
 
0.4%
128 2
 
0.2%
154 2
 
0.2%
Other values (4) 4
 
0.5%

Most occurring characters

ValueCountFrequency (%)
- 383
30.8%
383
30.8%
0 383
30.8%
1 29
 
2.3%
2 19
 
1.5%
8 10
 
0.8%
4 9
 
0.7%
, 8
 
0.6%
5 7
 
0.6%
7 6
 
0.5%
Other values (3) 8
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 471
37.8%
Dash Punctuation 383
30.8%
Space Separator 383
30.8%
Other Punctuation 8
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 383
81.3%
1 29
 
6.2%
2 19
 
4.0%
8 10
 
2.1%
4 9
 
1.9%
5 7
 
1.5%
7 6
 
1.3%
6 4
 
0.8%
3 3
 
0.6%
9 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 383
100.0%
Space Separator
ValueCountFrequency (%)
383
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 383
30.8%
383
30.8%
0 383
30.8%
1 29
 
2.3%
2 19
 
1.5%
8 10
 
0.8%
4 9
 
0.7%
, 8
 
0.6%
5 7
 
0.6%
7 6
 
0.5%
Other values (3) 8
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 383
30.8%
383
30.8%
0 383
30.8%
1 29
 
2.3%
2 19
 
1.5%
8 10
 
0.8%
4 9
 
0.7%
, 8
 
0.6%
5 7
 
0.6%
7 6
 
0.5%
Other values (3) 8
 
0.6%

14 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)3.0%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
388 
1
 
18
33
 
4
9
 
4
24
 
4
Other values (8)
 
14

Length

Max length3
Median length3
Mean length2.837963
Min length1

Characters and Unicode

Total characters1226
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st row33
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 388
89.6%
1 18
 
4.2%
33 4
 
0.9%
9 4
 
0.9%
24 4
 
0.9%
7 3
 
0.7%
10 2
 
0.5%
30 2
 
0.5%
105 2
 
0.5%
2 2
 
0.5%
Other values (3) 3
 
0.7%

Length

2023-01-03T11:53:12.121398image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
388
47.3%
0 388
47.3%
1 18
 
2.2%
33 4
 
0.5%
9 4
 
0.5%
24 4
 
0.5%
7 3
 
0.4%
10 2
 
0.2%
30 2
 
0.2%
105 2
 
0.2%
Other values (4) 5
 
0.6%

Most occurring characters

ValueCountFrequency (%)
0 394
32.1%
- 388
31.6%
388
31.6%
1 25
 
2.0%
3 10
 
0.8%
2 6
 
0.5%
9 4
 
0.3%
4 4
 
0.3%
7 4
 
0.3%
5 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 450
36.7%
Dash Punctuation 388
31.6%
Space Separator 388
31.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 394
87.6%
1 25
 
5.6%
3 10
 
2.2%
2 6
 
1.3%
9 4
 
0.9%
4 4
 
0.9%
7 4
 
0.9%
5 2
 
0.4%
8 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 388
100.0%
Space Separator
ValueCountFrequency (%)
388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1226
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 394
32.1%
- 388
31.6%
388
31.6%
1 25
 
2.0%
3 10
 
0.8%
2 6
 
0.5%
9 4
 
0.3%
4 4
 
0.3%
7 4
 
0.3%
5 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 394
32.1%
- 388
31.6%
388
31.6%
1 25
 
2.0%
3 10
 
0.8%
2 6
 
0.5%
9 4
 
0.3%
4 4
 
0.3%
7 4
 
0.3%
5 2
 
0.2%

15 Mbps
Categorical

Distinct334
Distinct (%)77.3%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
 
30
66
 
8
22
 
7
6
 
7
43
 
6
Other values (329)
374 

Length

Max length7
Median length6
Mean length4.0694444
Min length1

Characters and Unicode

Total characters1758
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique297 ?
Unique (%)68.8%

Sample

1st row97,049
2nd row31,903
3rd row841
4th row1,603
5th row18,909

Common Values

ValueCountFrequency (%)
- 0 30
 
6.9%
66 8
 
1.8%
22 7
 
1.6%
6 7
 
1.6%
43 6
 
1.4%
163 5
 
1.2%
2 4
 
0.9%
1 4
 
0.9%
21 4
 
0.9%
141 3
 
0.7%
Other values (324) 354
81.8%

Length

2023-01-03T11:53:12.211738image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
30
 
6.5%
0 30
 
6.5%
66 8
 
1.7%
6 7
 
1.5%
22 7
 
1.5%
43 6
 
1.3%
163 5
 
1.1%
2 4
 
0.9%
1 4
 
0.9%
21 4
 
0.9%
Other values (325) 357
77.3%

Most occurring characters

ValueCountFrequency (%)
, 244
13.9%
1 218
12.4%
2 199
11.3%
6 174
9.9%
0 153
8.7%
5 137
7.8%
4 134
7.6%
3 133
7.6%
9 110
6.3%
8 106
6.0%
Other values (3) 150
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1454
82.7%
Other Punctuation 244
 
13.9%
Dash Punctuation 30
 
1.7%
Space Separator 30
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 218
15.0%
2 199
13.7%
6 174
12.0%
0 153
10.5%
5 137
9.4%
4 134
9.2%
3 133
9.1%
9 110
7.6%
8 106
7.3%
7 90
6.2%
Other Punctuation
ValueCountFrequency (%)
, 244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 244
13.9%
1 218
12.4%
2 199
11.3%
6 174
9.9%
0 153
8.7%
5 137
7.8%
4 134
7.6%
3 133
7.6%
9 110
6.3%
8 106
6.0%
Other values (3) 150
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 244
13.9%
1 218
12.4%
2 199
11.3%
6 174
9.9%
0 153
8.7%
5 137
7.8%
4 134
7.6%
3 133
7.6%
9 110
6.3%
8 106
6.0%
Other values (3) 150
8.5%

16 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct27
Distinct (%)6.2%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
344 
1
 
15
3
 
13
5
 
11
139
 
6
Other values (22)
43 

Length

Max length5
Median length3
Mean length2.8101852
Min length1

Characters and Unicode

Total characters1214
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.3%

Sample

1st row301
2nd row5
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 344
79.4%
1 15
 
3.5%
3 13
 
3.0%
5 11
 
2.5%
139 6
 
1.4%
30 5
 
1.2%
109 4
 
0.9%
137 3
 
0.7%
100 3
 
0.7%
1,093 3
 
0.7%
Other values (17) 25
 
5.8%

Length

2023-01-03T11:53:12.299875image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
344
44.3%
0 344
44.3%
1 15
 
1.9%
3 13
 
1.7%
5 11
 
1.4%
139 6
 
0.8%
30 5
 
0.6%
109 4
 
0.5%
137 3
 
0.4%
100 3
 
0.4%
Other values (18) 28
 
3.6%

Most occurring characters

ValueCountFrequency (%)
0 367
30.2%
- 344
28.3%
344
28.3%
1 56
 
4.6%
3 35
 
2.9%
5 19
 
1.6%
9 15
 
1.2%
7 8
 
0.7%
, 6
 
0.5%
6 6
 
0.5%
Other values (3) 14
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 520
42.8%
Dash Punctuation 344
28.3%
Space Separator 344
28.3%
Other Punctuation 6
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 367
70.6%
1 56
 
10.8%
3 35
 
6.7%
5 19
 
3.7%
9 15
 
2.9%
7 8
 
1.5%
6 6
 
1.2%
2 6
 
1.2%
4 4
 
0.8%
8 4
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 344
100.0%
Space Separator
ValueCountFrequency (%)
344
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 367
30.2%
- 344
28.3%
344
28.3%
1 56
 
4.6%
3 35
 
2.9%
5 19
 
1.6%
9 15
 
1.2%
7 8
 
0.7%
, 6
 
0.5%
6 6
 
0.5%
Other values (3) 14
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 367
30.2%
- 344
28.3%
344
28.3%
1 56
 
4.6%
3 35
 
2.9%
5 19
 
1.6%
9 15
 
1.2%
7 8
 
0.7%
, 6
 
0.5%
6 6
 
0.5%
Other values (3) 14
 
1.2%

17 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
419 
1
 
7
2
 
6

Length

Max length3
Median length3
Mean length2.9398148
Min length1

Characters and Unicode

Total characters1270
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 419
96.8%
1 7
 
1.6%
2 6
 
1.4%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:12.387784image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:12.473809image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
419
49.2%
0 419
49.2%
1 7
 
0.8%
2 6
 
0.7%

Most occurring characters

ValueCountFrequency (%)
- 419
33.0%
419
33.0%
0 419
33.0%
1 7
 
0.6%
2 6
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
34.0%
Dash Punctuation 419
33.0%
Space Separator 419
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 419
97.0%
1 7
 
1.6%
2 6
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 419
100.0%
Space Separator
ValueCountFrequency (%)
419
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 419
33.0%
419
33.0%
0 419
33.0%
1 7
 
0.6%
2 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 419
33.0%
419
33.0%
0 419
33.0%
1 7
 
0.6%
2 6
 
0.5%

18 Mbps
Categorical

Distinct218
Distinct (%)50.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
171 
4
 
12
1
 
10
386
 
4
35
 
3
Other values (213)
232 

Length

Max length6
Median length3
Mean length3.4143519
Min length1

Characters and Unicode

Total characters1475
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)45.6%

Sample

1st row20,609
2nd row15,630
3rd row- 0
4th row270
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 171
39.5%
4 12
 
2.8%
1 10
 
2.3%
386 4
 
0.9%
35 3
 
0.7%
110 3
 
0.7%
2 3
 
0.7%
3 3
 
0.7%
7,564 2
 
0.5%
19,542 2
 
0.5%
Other values (208) 219
50.6%

Length

2023-01-03T11:53:12.538752image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
171
28.4%
0 171
28.4%
4 12
 
2.0%
1 10
 
1.7%
386 4
 
0.7%
35 3
 
0.5%
110 3
 
0.5%
2 3
 
0.5%
3 3
 
0.5%
525 2
 
0.3%
Other values (209) 221
36.7%

Most occurring characters

ValueCountFrequency (%)
0 239
16.2%
- 171
11.6%
171
11.6%
, 115
7.8%
1 114
7.7%
3 106
7.2%
2 105
7.1%
7 88
 
6.0%
4 84
 
5.7%
5 81
 
5.5%
Other values (3) 201
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1018
69.0%
Dash Punctuation 171
 
11.6%
Space Separator 171
 
11.6%
Other Punctuation 115
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 239
23.5%
1 114
11.2%
3 106
10.4%
2 105
10.3%
7 88
 
8.6%
4 84
 
8.3%
5 81
 
8.0%
6 68
 
6.7%
8 67
 
6.6%
9 66
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Space Separator
ValueCountFrequency (%)
171
100.0%
Other Punctuation
ValueCountFrequency (%)
, 115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1475
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 239
16.2%
- 171
11.6%
171
11.6%
, 115
7.8%
1 114
7.7%
3 106
7.2%
2 105
7.1%
7 88
 
6.0%
4 84
 
5.7%
5 81
 
5.5%
Other values (3) 201
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 239
16.2%
- 171
11.6%
171
11.6%
, 115
7.8%
1 114
7.7%
3 106
7.2%
2 105
7.1%
7 88
 
6.0%
4 84
 
5.7%
5 81
 
5.5%
Other values (3) 201
13.6%

19 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
429 
1
 
3

Length

Max length3
Median length3
Mean length2.9861111
Min length1

Characters and Unicode

Total characters1290
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 429
99.1%
1 3
 
0.7%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:12.610197image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:12.694535image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
429
49.8%
0 429
49.8%
1 3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
- 429
33.3%
429
33.3%
0 429
33.3%
1 3
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.5%
Dash Punctuation 429
33.3%
Space Separator 429
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 429
99.3%
1 3
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 429
100.0%
Space Separator
ValueCountFrequency (%)
429
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 429
33.3%
429
33.3%
0 429
33.3%
1 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 429
33.3%
429
33.3%
0 429
33.3%
1 3
 
0.2%

20 Mbps
Categorical

HIGH CARDINALITY  UNIFORM 

Distinct378
Distinct (%)87.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
 
12
71
 
4
7
 
4
4,332
 
3
34
 
3
Other values (373)
406 

Length

Max length7
Median length6
Mean length4.4699074
Min length1

Characters and Unicode

Total characters1931
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique344 ?
Unique (%)79.6%

Sample

1st row139,032
2nd row9,087
3rd row4,751
4th row16,864
5th row260

Common Values

ValueCountFrequency (%)
- 0 12
 
2.8%
71 4
 
0.9%
7 4
 
0.9%
4,332 3
 
0.7%
34 3
 
0.7%
69 3
 
0.7%
6,217 3
 
0.7%
15 3
 
0.7%
1 3
 
0.7%
82 2
 
0.5%
Other values (368) 392
90.5%

Length

2023-01-03T11:53:12.760117image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12
 
2.7%
0 12
 
2.7%
71 4
 
0.9%
7 4
 
0.9%
4,332 3
 
0.7%
34 3
 
0.7%
69 3
 
0.7%
6,217 3
 
0.7%
15 3
 
0.7%
1 3
 
0.7%
Other values (369) 394
88.7%

Most occurring characters

ValueCountFrequency (%)
, 293
15.2%
1 215
11.1%
3 210
10.9%
4 192
9.9%
2 163
8.4%
5 160
8.3%
7 154
8.0%
6 139
7.2%
0 129
6.7%
9 127
6.6%
Other values (3) 149
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1614
83.6%
Other Punctuation 293
 
15.2%
Dash Punctuation 12
 
0.6%
Space Separator 12
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 215
13.3%
3 210
13.0%
4 192
11.9%
2 163
10.1%
5 160
9.9%
7 154
9.5%
6 139
8.6%
0 129
8.0%
9 127
7.9%
8 125
7.7%
Other Punctuation
ValueCountFrequency (%)
, 293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1931
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 293
15.2%
1 215
11.1%
3 210
10.9%
4 192
9.9%
2 163
8.4%
5 160
8.3%
7 154
8.0%
6 139
7.2%
0 129
6.7%
9 127
6.6%
Other values (3) 149
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 293
15.2%
1 215
11.1%
3 210
10.9%
4 192
9.9%
2 163
8.4%
5 160
8.3%
7 154
8.0%
6 139
7.2%
0 129
6.7%
9 127
6.6%
Other values (3) 149
7.7%

21 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)1.6%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
393 
1
 
21
24
 
6
37
 
4
2
 
4
Other values (2)
 
4

Length

Max length3
Median length3
Mean length2.8425926
Min length1

Characters and Unicode

Total characters1228
Distinct characters8
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row4
2nd row1
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 393
90.8%
1 21
 
4.8%
24 6
 
1.4%
37 4
 
0.9%
2 4
 
0.9%
3 3
 
0.7%
4 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:12.843958image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:12.945667image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
393
47.6%
0 393
47.6%
1 21
 
2.5%
24 6
 
0.7%
37 4
 
0.5%
2 4
 
0.5%
3 3
 
0.4%
4 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 393
32.0%
393
32.0%
0 393
32.0%
1 21
 
1.7%
2 10
 
0.8%
4 7
 
0.6%
3 7
 
0.6%
7 4
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 442
36.0%
Dash Punctuation 393
32.0%
Space Separator 393
32.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 393
88.9%
1 21
 
4.8%
2 10
 
2.3%
4 7
 
1.6%
3 7
 
1.6%
7 4
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 393
100.0%
Space Separator
ValueCountFrequency (%)
393
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 393
32.0%
393
32.0%
0 393
32.0%
1 21
 
1.7%
2 10
 
0.8%
4 7
 
0.6%
3 7
 
0.6%
7 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 393
32.0%
393
32.0%
0 393
32.0%
1 21
 
1.7%
2 10
 
0.8%
4 7
 
0.6%
3 7
 
0.6%
7 4
 
0.3%

22 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
422 
1
 
10

Length

Max length3
Median length3
Mean length2.9537037
Min length1

Characters and Unicode

Total characters1276
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 422
97.5%
1 10
 
2.3%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:13.028920image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:13.110513image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
422
49.4%
0 422
49.4%
1 10
 
1.2%

Most occurring characters

ValueCountFrequency (%)
- 422
33.1%
422
33.1%
0 422
33.1%
1 10
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.9%
Dash Punctuation 422
33.1%
Space Separator 422
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 422
97.7%
1 10
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 422
100.0%
Space Separator
ValueCountFrequency (%)
422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 422
33.1%
422
33.1%
0 422
33.1%
1 10
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 422
33.1%
422
33.1%
0 422
33.1%
1 10
 
0.8%

23 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
423 
46
 
5
18
 
2
61
 
2

Length

Max length3
Median length3
Mean length2.9791667
Min length2

Characters and Unicode

Total characters1287
Distinct characters7
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 423
97.7%
46 5
 
1.2%
18 2
 
0.5%
61 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:13.173996image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:13.253695image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
423
49.5%
0 423
49.5%
46 5
 
0.6%
18 2
 
0.2%
61 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 423
32.9%
423
32.9%
0 423
32.9%
6 7
 
0.5%
4 5
 
0.4%
1 4
 
0.3%
8 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 441
34.3%
Dash Punctuation 423
32.9%
Space Separator 423
32.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 423
95.9%
6 7
 
1.6%
4 5
 
1.1%
1 4
 
0.9%
8 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Space Separator
ValueCountFrequency (%)
423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 423
32.9%
423
32.9%
0 423
32.9%
6 7
 
0.5%
4 5
 
0.4%
1 4
 
0.3%
8 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 423
32.9%
423
32.9%
0 423
32.9%
6 7
 
0.5%
4 5
 
0.4%
1 4
 
0.3%
8 2
 
0.2%

24 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct50
Distinct (%)11.6%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
343 
2
 
18
1
 
10
26
 
5
3
 
3
Other values (45)
53 

Length

Max length6
Median length3
Mean length2.8425926
Min length1

Characters and Unicode

Total characters1228
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)8.6%

Sample

1st row25
2nd row- 0
3rd row2,573
4th row- 0
5th row1,190

Common Values

ValueCountFrequency (%)
- 0 343
79.2%
2 18
 
4.2%
1 10
 
2.3%
26 5
 
1.2%
3 3
 
0.7%
479 2
 
0.5%
13 2
 
0.5%
372 2
 
0.5%
28 2
 
0.5%
208 2
 
0.5%
Other values (40) 43
 
9.9%

Length

2023-01-03T11:53:13.325679image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
343
44.3%
0 343
44.3%
2 18
 
2.3%
1 10
 
1.3%
26 5
 
0.6%
3 3
 
0.4%
208 2
 
0.3%
274 2
 
0.3%
43 2
 
0.3%
25 2
 
0.3%
Other values (41) 45
 
5.8%

Most occurring characters

ValueCountFrequency (%)
0 351
28.6%
- 343
27.9%
343
27.9%
2 47
 
3.8%
3 28
 
2.3%
1 24
 
2.0%
4 17
 
1.4%
8 16
 
1.3%
6 14
 
1.1%
7 13
 
1.1%
Other values (3) 32
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 533
43.4%
Dash Punctuation 343
27.9%
Space Separator 343
27.9%
Other Punctuation 9
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 351
65.9%
2 47
 
8.8%
3 28
 
5.3%
1 24
 
4.5%
4 17
 
3.2%
8 16
 
3.0%
6 14
 
2.6%
7 13
 
2.4%
9 12
 
2.3%
5 11
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 343
100.0%
Space Separator
ValueCountFrequency (%)
343
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 351
28.6%
- 343
27.9%
343
27.9%
2 47
 
3.8%
3 28
 
2.3%
1 24
 
2.0%
4 17
 
1.4%
8 16
 
1.3%
6 14
 
1.1%
7 13
 
1.1%
Other values (3) 32
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 351
28.6%
- 343
27.9%
343
27.9%
2 47
 
3.8%
3 28
 
2.3%
1 24
 
2.0%
4 17
 
1.4%
8 16
 
1.3%
6 14
 
1.1%
7 13
 
1.1%
Other values (3) 32
 
2.6%

25 Mbps
Categorical

Distinct306
Distinct (%)70.8%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
69 
1
 
13
5
 
6
16
 
5
20
 
5
Other values (301)
334 

Length

Max length7
Median length6
Mean length4.2523148
Min length1

Characters and Unicode

Total characters1837
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique278 ?
Unique (%)64.4%

Sample

1st row114,692
2nd row33,645
3rd row228
4th row1,853
5th row4,134

Common Values

ValueCountFrequency (%)
- 0 69
 
15.9%
1 13
 
3.0%
5 6
 
1.4%
16 5
 
1.2%
20 5
 
1.2%
980 4
 
0.9%
32 4
 
0.9%
6 3
 
0.7%
150 3
 
0.7%
335 3
 
0.7%
Other values (296) 317
73.2%

Length

2023-01-03T11:53:13.403062image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
69
 
13.8%
0 69
 
13.8%
1 13
 
2.6%
5 6
 
1.2%
16 5
 
1.0%
20 5
 
1.0%
980 4
 
0.8%
32 4
 
0.8%
3 3
 
0.6%
1,240 3
 
0.6%
Other values (297) 320
63.9%

Most occurring characters

ValueCountFrequency (%)
, 237
12.9%
1 235
12.8%
0 162
8.8%
3 156
8.5%
2 154
8.4%
6 147
8.0%
5 137
7.5%
4 137
7.5%
8 115
6.3%
9 113
6.2%
Other values (3) 244
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1462
79.6%
Other Punctuation 237
 
12.9%
Dash Punctuation 69
 
3.8%
Space Separator 69
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 235
16.1%
0 162
11.1%
3 156
10.7%
2 154
10.5%
6 147
10.1%
5 137
9.4%
4 137
9.4%
8 115
7.9%
9 113
7.7%
7 106
7.3%
Other Punctuation
ValueCountFrequency (%)
, 237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1837
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 237
12.9%
1 235
12.8%
0 162
8.8%
3 156
8.5%
2 154
8.4%
6 147
8.0%
5 137
7.5%
4 137
7.5%
8 115
6.3%
9 113
6.2%
Other values (3) 244
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1837
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 237
12.9%
1 235
12.8%
0 162
8.8%
3 156
8.5%
2 154
8.4%
6 147
8.0%
5 137
7.5%
4 137
7.5%
8 115
6.3%
9 113
6.2%
Other values (3) 244
13.3%

25,1 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
426 
2
 
4
5
 
2

Length

Max length3
Median length3
Mean length2.9722222
Min length1

Characters and Unicode

Total characters1284
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 426
98.4%
2 4
 
0.9%
5 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:13.887878image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:13.971908image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
426
49.7%
0 426
49.7%
2 4
 
0.5%
5 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 426
33.2%
426
33.2%
0 426
33.2%
2 4
 
0.3%
5 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.6%
Dash Punctuation 426
33.2%
Space Separator 426
33.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
98.6%
2 4
 
0.9%
5 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%
Space Separator
ValueCountFrequency (%)
426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 426
33.2%
426
33.2%
0 426
33.2%
2 4
 
0.3%
5 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 426
33.2%
426
33.2%
0 426
33.2%
2 4
 
0.3%
5 2
 
0.2%

25,11 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
430 
1
 
2

Length

Max length3
Median length3
Mean length2.9907407
Min length1

Characters and Unicode

Total characters1292
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 430
99.3%
1 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:14.047065image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:14.130545image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
430
49.9%
0 430
49.9%
1 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
1 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.4%
Dash Punctuation 430
33.3%
Space Separator 430
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
99.5%
1 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Space Separator
ValueCountFrequency (%)
430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
1 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
1 2
 
0.2%

25,5 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
426 
25
 
4
35
 
2

Length

Max length3
Median length3
Mean length2.9861111
Min length2

Characters and Unicode

Total characters1290
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 426
98.4%
25 4
 
0.9%
35 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:14.195585image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:14.274068image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
426
49.7%
0 426
49.7%
25 4
 
0.5%
35 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 426
33.0%
426
33.0%
0 426
33.0%
5 6
 
0.5%
2 4
 
0.3%
3 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 438
34.0%
Dash Punctuation 426
33.0%
Space Separator 426
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
97.3%
5 6
 
1.4%
2 4
 
0.9%
3 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%
Space Separator
ValueCountFrequency (%)
426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 426
33.0%
426
33.0%
0 426
33.0%
5 6
 
0.5%
2 4
 
0.3%
3 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 426
33.0%
426
33.0%
0 426
33.0%
5 6
 
0.5%
2 4
 
0.3%
3 2
 
0.2%

26 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
430 
26
 
1
10
 
1

Length

Max length3
Median length3
Mean length2.9953704
Min length2

Characters and Unicode

Total characters1294
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 430
99.3%
26 1
 
0.2%
10 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:14.338768image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:14.416144image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
430
49.9%
0 430
49.9%
26 1
 
0.1%
10 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 431
33.3%
- 430
33.2%
430
33.2%
2 1
 
0.1%
6 1
 
0.1%
1 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 434
33.5%
Dash Punctuation 430
33.2%
Space Separator 430
33.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 431
99.3%
2 1
 
0.2%
6 1
 
0.2%
1 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Space Separator
ValueCountFrequency (%)
430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 431
33.3%
- 430
33.2%
430
33.2%
2 1
 
0.1%
6 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 431
33.3%
- 430
33.2%
430
33.2%
2 1
 
0.1%
6 1
 
0.1%
1 1
 
0.1%

28 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
425 
53
 
5
1
 
2

Length

Max length3
Median length3
Mean length2.9791667
Min length1

Characters and Unicode

Total characters1287
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 425
98.2%
53 5
 
1.2%
1 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:14.490868image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:14.576743image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
425
49.6%
0 425
49.6%
53 5
 
0.6%
1 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 425
33.0%
425
33.0%
0 425
33.0%
5 5
 
0.4%
3 5
 
0.4%
1 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 437
34.0%
Dash Punctuation 425
33.0%
Space Separator 425
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 425
97.3%
5 5
 
1.1%
3 5
 
1.1%
1 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 425
100.0%
Space Separator
ValueCountFrequency (%)
425
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 425
33.0%
425
33.0%
0 425
33.0%
5 5
 
0.4%
3 5
 
0.4%
1 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 425
33.0%
425
33.0%
0 425
33.0%
5 5
 
0.4%
3 5
 
0.4%
1 2
 
0.2%

29 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
423 
917
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 423
97.7%
917 9
 
2.1%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:14.639782image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:14.713495image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
423
49.5%
0 423
49.5%
917 9
 
1.1%

Most occurring characters

ValueCountFrequency (%)
- 423
32.6%
423
32.6%
0 423
32.6%
9 9
 
0.7%
1 9
 
0.7%
7 9
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 450
34.7%
Dash Punctuation 423
32.6%
Space Separator 423
32.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 423
94.0%
9 9
 
2.0%
1 9
 
2.0%
7 9
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Space Separator
ValueCountFrequency (%)
423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 423
32.6%
423
32.6%
0 423
32.6%
9 9
 
0.7%
1 9
 
0.7%
7 9
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 423
32.6%
423
32.6%
0 423
32.6%
9 9
 
0.7%
1 9
 
0.7%
7 9
 
0.7%

30 Mbps
Categorical

Distinct327
Distinct (%)75.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
2
 
10
1
 
8
5
 
8
24
 
8
8
 
7
Other values (322)
391 

Length

Max length7
Median length6
Mean length3.5486111
Min length1

Characters and Unicode

Total characters1533
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)65.7%

Sample

1st row726,501
2nd row59,618
3rd row960
4th row11,170
5th row9,160

Common Values

ValueCountFrequency (%)
2 10
 
2.3%
1 8
 
1.8%
5 8
 
1.8%
24 8
 
1.8%
8 7
 
1.6%
- 0 7
 
1.6%
7 6
 
1.4%
178 5
 
1.2%
22 5
 
1.2%
6 5
 
1.2%
Other values (317) 363
83.8%

Length

2023-01-03T11:53:14.784061image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2 10
 
2.3%
5 8
 
1.8%
24 8
 
1.8%
1 8
 
1.8%
8 7
 
1.6%
7
 
1.6%
0 7
 
1.6%
7 6
 
1.4%
6 5
 
1.1%
181 5
 
1.1%
Other values (318) 368
83.8%

Most occurring characters

ValueCountFrequency (%)
1 243
15.9%
2 184
12.0%
, 155
10.1%
4 137
8.9%
3 136
8.9%
5 121
7.9%
8 119
7.8%
0 115
7.5%
7 112
7.3%
6 101
6.6%
Other values (3) 110
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1364
89.0%
Other Punctuation 155
 
10.1%
Dash Punctuation 7
 
0.5%
Space Separator 7
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 243
17.8%
2 184
13.5%
4 137
10.0%
3 136
10.0%
5 121
8.9%
8 119
8.7%
0 115
8.4%
7 112
8.2%
6 101
7.4%
9 96
 
7.0%
Other Punctuation
ValueCountFrequency (%)
, 155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1533
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 243
15.9%
2 184
12.0%
, 155
10.1%
4 137
8.9%
3 136
8.9%
5 121
7.9%
8 119
7.8%
0 115
7.5%
7 112
7.3%
6 101
6.6%
Other values (3) 110
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1533
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 243
15.9%
2 184
12.0%
, 155
10.1%
4 137
8.9%
3 136
8.9%
5 121
7.9%
8 119
7.8%
0 115
7.5%
7 112
7.3%
6 101
6.6%
Other values (3) 110
7.2%

31 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
425 
1
 
4
149
 
2
1,397
 
1

Length

Max length5
Median length3
Mean length2.9861111
Min length1

Characters and Unicode

Total characters1290
Distinct characters9
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row1,397
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 425
98.2%
1 4
 
0.9%
149 2
 
0.5%
1,397 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:14.859915image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:14.947261image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
425
49.6%
0 425
49.6%
1 4
 
0.5%
149 2
 
0.2%
1,397 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 425
32.9%
425
32.9%
0 425
32.9%
1 7
 
0.5%
9 3
 
0.2%
4 2
 
0.2%
, 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 439
34.0%
Dash Punctuation 425
32.9%
Space Separator 425
32.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 425
96.8%
1 7
 
1.6%
9 3
 
0.7%
4 2
 
0.5%
3 1
 
0.2%
7 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 425
100.0%
Space Separator
ValueCountFrequency (%)
425
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 425
32.9%
425
32.9%
0 425
32.9%
1 7
 
0.5%
9 3
 
0.2%
4 2
 
0.2%
, 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 425
32.9%
425
32.9%
0 425
32.9%
1 7
 
0.5%
9 3
 
0.2%
4 2
 
0.2%
, 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%

32 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
427 
1
 
3
7
 
1
54
 
1

Length

Max length3
Median length3
Mean length2.9791667
Min length1

Characters and Unicode

Total characters1287
Distinct characters7
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row7
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 427
98.6%
1 3
 
0.7%
7 1
 
0.2%
54 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:15.023648image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:15.109691image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
427
49.7%
0 427
49.7%
1 3
 
0.3%
7 1
 
0.1%
54 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 427
33.2%
427
33.2%
0 427
33.2%
1 3
 
0.2%
7 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 433
33.6%
Dash Punctuation 427
33.2%
Space Separator 427
33.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 427
98.6%
1 3
 
0.7%
7 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 427
100.0%
Space Separator
ValueCountFrequency (%)
427
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 427
33.2%
427
33.2%
0 427
33.2%
1 3
 
0.2%
7 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 427
33.2%
427
33.2%
0 427
33.2%
1 3
 
0.2%
7 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%

34 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
416 
1
 
15
2
 
1

Length

Max length3
Median length3
Mean length2.9259259
Min length1

Characters and Unicode

Total characters1264
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 416
96.1%
1 15
 
3.5%
2 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:15.178695image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:15.261235image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
416
49.1%
0 416
49.1%
1 15
 
1.8%
2 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 416
32.9%
416
32.9%
0 416
32.9%
1 15
 
1.2%
2 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
34.2%
Dash Punctuation 416
32.9%
Space Separator 416
32.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 416
96.3%
1 15
 
3.5%
2 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 416
100.0%
Space Separator
ValueCountFrequency (%)
416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 416
32.9%
416
32.9%
0 416
32.9%
1 15
 
1.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 416
32.9%
416
32.9%
0 416
32.9%
1 15
 
1.2%
2 1
 
0.1%

35 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct29
Distinct (%)6.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
303 
1
 
25
2
 
13
9
 
12
4
 
7
Other values (24)
72 

Length

Max length3
Median length3
Mean length2.6435185
Min length1

Characters and Unicode

Total characters1142
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)1.6%

Sample

1st row873
2nd row9
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 303
70.0%
1 25
 
5.8%
2 13
 
3.0%
9 12
 
2.8%
4 7
 
1.6%
7 7
 
1.6%
538 6
 
1.4%
509 5
 
1.2%
216 5
 
1.2%
8 4
 
0.9%
Other values (19) 45
 
10.4%

Length

2023-01-03T11:53:15.332036image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
303
41.2%
0 303
41.2%
1 25
 
3.4%
2 13
 
1.8%
9 12
 
1.6%
4 7
 
1.0%
7 7
 
1.0%
538 6
 
0.8%
216 5
 
0.7%
509 5
 
0.7%
Other values (20) 49
 
6.7%

Most occurring characters

ValueCountFrequency (%)
0 315
27.6%
- 303
26.5%
303
26.5%
1 39
 
3.4%
3 32
 
2.8%
9 29
 
2.5%
2 27
 
2.4%
8 25
 
2.2%
5 24
 
2.1%
4 23
 
2.0%
Other values (2) 22
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 536
46.9%
Dash Punctuation 303
26.5%
Space Separator 303
26.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 315
58.8%
1 39
 
7.3%
3 32
 
6.0%
9 29
 
5.4%
2 27
 
5.0%
8 25
 
4.7%
5 24
 
4.5%
4 23
 
4.3%
7 13
 
2.4%
6 9
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 303
100.0%
Space Separator
ValueCountFrequency (%)
303
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1142
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 315
27.6%
- 303
26.5%
303
26.5%
1 39
 
3.4%
3 32
 
2.8%
9 29
 
2.5%
2 27
 
2.4%
8 25
 
2.2%
5 24
 
2.1%
4 23
 
2.0%
Other values (2) 22
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1142
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 315
27.6%
- 303
26.5%
303
26.5%
1 39
 
3.4%
3 32
 
2.8%
9 29
 
2.5%
2 27
 
2.4%
8 25
 
2.2%
5 24
 
2.1%
4 23
 
2.0%
Other values (2) 22
 
1.9%

36 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)2.3%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
423 
82
 
1
18
 
1
94
 
1
103
 
1
Other values (5)
 
5

Length

Max length3
Median length3
Mean length2.9814815
Min length2

Characters and Unicode

Total characters1288
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)2.1%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 423
97.7%
82 1
 
0.2%
18 1
 
0.2%
94 1
 
0.2%
103 1
 
0.2%
99 1
 
0.2%
87 1
 
0.2%
59 1
 
0.2%
66 1
 
0.2%
65 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:15.421654image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:15.525654image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
423
49.5%
0 423
49.5%
82 1
 
0.1%
18 1
 
0.1%
94 1
 
0.1%
103 1
 
0.1%
99 1
 
0.1%
87 1
 
0.1%
59 1
 
0.1%
66 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 424
32.9%
- 423
32.8%
423
32.8%
9 4
 
0.3%
8 3
 
0.2%
6 3
 
0.2%
1 2
 
0.2%
5 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 442
34.3%
Dash Punctuation 423
32.8%
Space Separator 423
32.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
95.9%
9 4
 
0.9%
8 3
 
0.7%
6 3
 
0.7%
1 2
 
0.5%
5 2
 
0.5%
2 1
 
0.2%
4 1
 
0.2%
3 1
 
0.2%
7 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Space Separator
ValueCountFrequency (%)
423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 424
32.9%
- 423
32.8%
423
32.8%
9 4
 
0.3%
8 3
 
0.2%
6 3
 
0.2%
1 2
 
0.2%
5 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 424
32.9%
- 423
32.8%
423
32.8%
9 4
 
0.3%
8 3
 
0.2%
6 3
 
0.2%
1 2
 
0.2%
5 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
Other values (2) 2
 
0.2%

37 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
430 
2
 
2

Length

Max length3
Median length3
Mean length2.9907407
Min length1

Characters and Unicode

Total characters1292
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 430
99.3%
2 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:15.614220image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:15.694772image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
430
49.9%
0 430
49.9%
2 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.4%
Dash Punctuation 430
33.3%
Space Separator 430
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
99.5%
2 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Space Separator
ValueCountFrequency (%)
430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

38 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
424 
2
 
7
4
 
1

Length

Max length3
Median length3
Mean length2.962963
Min length1

Characters and Unicode

Total characters1280
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 424
97.9%
2 7
 
1.6%
4 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:15.759635image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:15.848094image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
424
49.5%
0 424
49.5%
2 7
 
0.8%
4 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
2 7
 
0.5%
4 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.8%
Dash Punctuation 424
33.1%
Space Separator 424
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
98.1%
2 7
 
1.6%
4 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 424
100.0%
Space Separator
ValueCountFrequency (%)
424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
2 7
 
0.5%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
2 7
 
0.5%
4 1
 
0.1%

39 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
422 
30
 
7
1
 
2
60
 
1

Length

Max length3
Median length3
Mean length2.9722222
Min length1

Characters and Unicode

Total characters1284
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row- 0
2nd row60
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 422
97.5%
30 7
 
1.6%
1 2
 
0.5%
60 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:15.917531image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:16.004730image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
422
49.4%
0 422
49.4%
30 7
 
0.8%
1 2
 
0.2%
60 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 430
33.5%
- 422
32.9%
422
32.9%
3 7
 
0.5%
1 2
 
0.2%
6 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
34.3%
Dash Punctuation 422
32.9%
Space Separator 422
32.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
97.7%
3 7
 
1.6%
1 2
 
0.5%
6 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 422
100.0%
Space Separator
ValueCountFrequency (%)
422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 430
33.5%
- 422
32.9%
422
32.9%
3 7
 
0.5%
1 2
 
0.2%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 430
33.5%
- 422
32.9%
422
32.9%
3 7
 
0.5%
1 2
 
0.2%
6 1
 
0.1%

40 Mbps
Categorical

HIGH CARDINALITY  HIGH CORRELATION 

Distinct65
Distinct (%)15.0%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
244 
3
 
23
2
 
20
1
 
15
10
 
10
Other values (60)
120 

Length

Max length5
Median length3
Mean length2.5115741
Min length1

Characters and Unicode

Total characters1085
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)8.3%

Sample

1st row3,302
2nd row124
3rd row- 0
4th row18
5th row10

Common Values

ValueCountFrequency (%)
- 0 244
56.4%
3 23
 
5.3%
2 20
 
4.6%
1 15
 
3.5%
10 10
 
2.3%
5 7
 
1.6%
30 6
 
1.4%
121 6
 
1.4%
11 5
 
1.2%
71 5
 
1.2%
Other values (55) 91
 
21.0%

Length

2023-01-03T11:53:16.077935image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
244
36.1%
0 244
36.1%
3 23
 
3.4%
2 20
 
3.0%
1 15
 
2.2%
10 10
 
1.5%
5 7
 
1.0%
30 6
 
0.9%
121 6
 
0.9%
11 5
 
0.7%
Other values (56) 96
 
14.2%

Most occurring characters

ValueCountFrequency (%)
0 271
25.0%
- 244
22.5%
244
22.5%
1 85
 
7.8%
3 65
 
6.0%
2 65
 
6.0%
5 23
 
2.1%
7 22
 
2.0%
6 21
 
1.9%
8 18
 
1.7%
Other values (3) 27
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 589
54.3%
Dash Punctuation 244
22.5%
Space Separator 244
22.5%
Other Punctuation 8
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 271
46.0%
1 85
 
14.4%
3 65
 
11.0%
2 65
 
11.0%
5 23
 
3.9%
7 22
 
3.7%
6 21
 
3.6%
8 18
 
3.1%
4 12
 
2.0%
9 7
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%
Space Separator
ValueCountFrequency (%)
244
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1085
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 271
25.0%
- 244
22.5%
244
22.5%
1 85
 
7.8%
3 65
 
6.0%
2 65
 
6.0%
5 23
 
2.1%
7 22
 
2.0%
6 21
 
1.9%
8 18
 
1.7%
Other values (3) 27
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 271
25.0%
- 244
22.5%
244
22.5%
1 85
 
7.8%
3 65
 
6.0%
2 65
 
6.0%
5 23
 
2.1%
7 22
 
2.0%
6 21
 
1.9%
8 18
 
1.7%
Other values (3) 27
 
2.5%

41 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
418 
1
 
8
9
 
6

Length

Max length3
Median length3
Mean length2.9351852
Min length1

Characters and Unicode

Total characters1268
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 418
96.5%
1 8
 
1.8%
9 6
 
1.4%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:16.159693image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:16.243965image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
418
49.2%
0 418
49.2%
1 8
 
0.9%
9 6
 
0.7%

Most occurring characters

ValueCountFrequency (%)
- 418
33.0%
418
33.0%
0 418
33.0%
1 8
 
0.6%
9 6
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
34.1%
Dash Punctuation 418
33.0%
Space Separator 418
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 418
96.8%
1 8
 
1.9%
9 6
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 418
100.0%
Space Separator
ValueCountFrequency (%)
418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1268
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 418
33.0%
418
33.0%
0 418
33.0%
1 8
 
0.6%
9 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 418
33.0%
418
33.0%
0 418
33.0%
1 8
 
0.6%
9 6
 
0.5%

45 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct33
Distinct (%)7.6%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
362 
28
 
5
636
 
4
22
 
4
136
 
4
Other values (28)
53 

Length

Max length3
Median length3
Mean length2.9189815
Min length1

Characters and Unicode

Total characters1261
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)3.2%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 362
83.6%
28 5
 
1.2%
636 4
 
0.9%
22 4
 
0.9%
136 4
 
0.9%
1 4
 
0.9%
100 4
 
0.9%
68 3
 
0.7%
77 3
 
0.7%
21 3
 
0.7%
Other values (23) 36
 
8.3%

Length

2023-01-03T11:53:16.313440image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
362
45.6%
0 362
45.6%
28 5
 
0.6%
636 4
 
0.5%
22 4
 
0.5%
136 4
 
0.5%
1 4
 
0.5%
100 4
 
0.5%
131 3
 
0.4%
54 3
 
0.4%
Other values (24) 39
 
4.9%

Most occurring characters

ValueCountFrequency (%)
0 381
30.2%
- 362
28.7%
362
28.7%
1 43
 
3.4%
2 22
 
1.7%
6 20
 
1.6%
3 17
 
1.3%
8 13
 
1.0%
5 13
 
1.0%
7 10
 
0.8%
Other values (2) 18
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 537
42.6%
Dash Punctuation 362
28.7%
Space Separator 362
28.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 381
70.9%
1 43
 
8.0%
2 22
 
4.1%
6 20
 
3.7%
3 17
 
3.2%
8 13
 
2.4%
5 13
 
2.4%
7 10
 
1.9%
9 10
 
1.9%
4 8
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 362
100.0%
Space Separator
ValueCountFrequency (%)
362
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1261
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 381
30.2%
- 362
28.7%
362
28.7%
1 43
 
3.4%
2 22
 
1.7%
6 20
 
1.6%
3 17
 
1.3%
8 13
 
1.0%
5 13
 
1.0%
7 10
 
0.8%
Other values (2) 18
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 381
30.2%
- 362
28.7%
362
28.7%
1 43
 
3.4%
2 22
 
1.7%
6 20
 
1.6%
3 17
 
1.3%
8 13
 
1.0%
5 13
 
1.0%
7 10
 
0.8%
Other values (2) 18
 
1.4%

46 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
424 
3
 
7
6
 
1

Length

Max length3
Median length3
Mean length2.962963
Min length1

Characters and Unicode

Total characters1280
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 424
97.9%
3 7
 
1.6%
6 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:16.396541image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:16.489880image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
424
49.5%
0 424
49.5%
3 7
 
0.8%
6 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
3 7
 
0.5%
6 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.8%
Dash Punctuation 424
33.1%
Space Separator 424
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
98.1%
3 7
 
1.6%
6 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 424
100.0%
Space Separator
ValueCountFrequency (%)
424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
3 7
 
0.5%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
3 7
 
0.5%
6 1
 
0.1%

47 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
427 
1
 
5

Length

Max length3
Median length3
Mean length2.9768519
Min length1

Characters and Unicode

Total characters1286
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 427
98.6%
1 5
 
1.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:16.557906image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:16.640367image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
427
49.7%
0 427
49.7%
1 5
 
0.6%

Most occurring characters

ValueCountFrequency (%)
- 427
33.2%
427
33.2%
0 427
33.2%
1 5
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.6%
Dash Punctuation 427
33.2%
Space Separator 427
33.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 427
98.8%
1 5
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 427
100.0%
Space Separator
ValueCountFrequency (%)
427
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 427
33.2%
427
33.2%
0 427
33.2%
1 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 427
33.2%
427
33.2%
0 427
33.2%
1 5
 
0.4%

48 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
431 
447
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 431
99.5%
447 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:16.702441image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:16.778254image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
431
49.9%
0 431
49.9%
447 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 431
33.3%
431
33.3%
0 431
33.3%
4 2
 
0.2%
7 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 434
33.5%
Dash Punctuation 431
33.3%
Space Separator 431
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 431
99.3%
4 2
 
0.5%
7 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 431
100.0%
Space Separator
ValueCountFrequency (%)
431
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 431
33.3%
431
33.3%
0 431
33.3%
4 2
 
0.2%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 431
33.3%
431
33.3%
0 431
33.3%
4 2
 
0.2%
7 1
 
0.1%

49 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
414 
1
 
18

Length

Max length3
Median length3
Mean length2.9166667
Min length1

Characters and Unicode

Total characters1260
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 414
95.6%
1 18
 
4.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:16.845477image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:16.928158image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
414
48.9%
0 414
48.9%
1 18
 
2.1%

Most occurring characters

ValueCountFrequency (%)
- 414
32.9%
414
32.9%
0 414
32.9%
1 18
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
34.3%
Dash Punctuation 414
32.9%
Space Separator 414
32.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 414
95.8%
1 18
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 414
100.0%
Space Separator
ValueCountFrequency (%)
414
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 414
32.9%
414
32.9%
0 414
32.9%
1 18
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 414
32.9%
414
32.9%
0 414
32.9%
1 18
 
1.4%

50 Mbps
Categorical

Distinct341
Distinct (%)78.9%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
41 
80
 
8
1
 
7
158
 
4
613
 
4
Other values (336)
368 

Length

Max length9
Median length7
Mean length4.7662037
Min length1

Characters and Unicode

Total characters2059
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique314 ?
Unique (%)72.7%

Sample

1st row1,006,534
2nd row420,771
3rd row21,877
4th row36,088
5th row13,124

Common Values

ValueCountFrequency (%)
- 0 41
 
9.5%
80 8
 
1.8%
1 7
 
1.6%
158 4
 
0.9%
613 4
 
0.9%
164 4
 
0.9%
10 4
 
0.9%
999 4
 
0.9%
301 3
 
0.7%
9 3
 
0.7%
Other values (331) 350
80.8%

Length

2023-01-03T11:53:16.999812image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
41
 
8.7%
0 41
 
8.7%
80 8
 
1.7%
1 7
 
1.5%
158 4
 
0.8%
613 4
 
0.8%
164 4
 
0.8%
10 4
 
0.8%
999 4
 
0.8%
56 3
 
0.6%
Other values (332) 353
74.6%

Most occurring characters

ValueCountFrequency (%)
, 296
14.4%
1 236
11.5%
2 223
10.8%
3 186
9.0%
6 155
7.5%
4 153
7.4%
0 150
7.3%
7 150
7.3%
5 149
7.2%
8 147
7.1%
Other values (3) 214
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1681
81.6%
Other Punctuation 296
 
14.4%
Dash Punctuation 41
 
2.0%
Space Separator 41
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 236
14.0%
2 223
13.3%
3 186
11.1%
6 155
9.2%
4 153
9.1%
0 150
8.9%
7 150
8.9%
5 149
8.9%
8 147
8.7%
9 132
7.9%
Other Punctuation
ValueCountFrequency (%)
, 296
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2059
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 296
14.4%
1 236
11.5%
2 223
10.8%
3 186
9.0%
6 155
7.5%
4 153
7.4%
0 150
7.3%
7 150
7.3%
5 149
7.2%
8 147
7.1%
Other values (3) 214
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 296
14.4%
1 236
11.5%
2 223
10.8%
3 186
9.0%
6 155
7.5%
4 153
7.4%
0 150
7.3%
7 150
7.3%
5 149
7.2%
8 147
7.1%
Other values (3) 214
10.4%

51 Mbps
Categorical

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
430 
1
 
2

Length

Max length3
Median length3
Mean length2.9907407
Min length1

Characters and Unicode

Total characters1292
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 430
99.3%
1 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:17.081999image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:17.164983image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
430
49.9%
0 430
49.9%
1 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
1 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.4%
Dash Punctuation 430
33.3%
Space Separator 430
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
99.5%
1 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Space Separator
ValueCountFrequency (%)
430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
1 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
1 2
 
0.2%

52 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
425 
1
 
5
2
 
2

Length

Max length3
Median length3
Mean length2.9675926
Min length1

Characters and Unicode

Total characters1282
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 425
98.2%
1 5
 
1.2%
2 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:17.234294image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:17.318396image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
425
49.6%
0 425
49.6%
1 5
 
0.6%
2 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 425
33.2%
425
33.2%
0 425
33.2%
1 5
 
0.4%
2 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.7%
Dash Punctuation 425
33.2%
Space Separator 425
33.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 425
98.4%
1 5
 
1.2%
2 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 425
100.0%
Space Separator
ValueCountFrequency (%)
425
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 425
33.2%
425
33.2%
0 425
33.2%
1 5
 
0.4%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 425
33.2%
425
33.2%
0 425
33.2%
1 5
 
0.4%
2 2
 
0.2%

54 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
423 
54
 
5
2
 
4

Length

Max length3
Median length3
Mean length2.9699074
Min length1

Characters and Unicode

Total characters1283
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 423
97.7%
54 5
 
1.2%
2 4
 
0.9%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:17.388888image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:17.473096image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
423
49.5%
0 423
49.5%
54 5
 
0.6%
2 4
 
0.5%

Most occurring characters

ValueCountFrequency (%)
- 423
33.0%
423
33.0%
0 423
33.0%
5 5
 
0.4%
4 5
 
0.4%
2 4
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 437
34.1%
Dash Punctuation 423
33.0%
Space Separator 423
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 423
96.8%
5 5
 
1.1%
4 5
 
1.1%
2 4
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Space Separator
ValueCountFrequency (%)
423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 423
33.0%
423
33.0%
0 423
33.0%
5 5
 
0.4%
4 5
 
0.4%
2 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 423
33.0%
423
33.0%
0 423
33.0%
5 5
 
0.4%
4 5
 
0.4%
2 4
 
0.3%

55 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
410 
1
 
16
24
 
2
15
 
2
59
 
1

Length

Max length3
Median length3
Mean length2.912037
Min length1

Characters and Unicode

Total characters1258
Distinct characters9
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row59
2nd row1
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 410
94.7%
1 16
 
3.7%
24 2
 
0.5%
15 2
 
0.5%
59 1
 
0.2%
58 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:17.541961image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:17.629621image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
410
48.7%
0 410
48.7%
1 16
 
1.9%
24 2
 
0.2%
15 2
 
0.2%
59 1
 
0.1%
58 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 410
32.6%
410
32.6%
0 410
32.6%
1 18
 
1.4%
5 4
 
0.3%
2 2
 
0.2%
4 2
 
0.2%
9 1
 
0.1%
8 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 438
34.8%
Dash Punctuation 410
32.6%
Space Separator 410
32.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 410
93.6%
1 18
 
4.1%
5 4
 
0.9%
2 2
 
0.5%
4 2
 
0.5%
9 1
 
0.2%
8 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 410
100.0%
Space Separator
ValueCountFrequency (%)
410
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1258
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 410
32.6%
410
32.6%
0 410
32.6%
1 18
 
1.4%
5 4
 
0.3%
2 2
 
0.2%
4 2
 
0.2%
9 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 410
32.6%
410
32.6%
0 410
32.6%
1 18
 
1.4%
5 4
 
0.3%
2 2
 
0.2%
4 2
 
0.2%
9 1
 
0.1%
8 1
 
0.1%

56 Mbps
Categorical

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
430 
173
 
1
54
 
1

Length

Max length3
Median length3
Mean length2.9976852
Min length2

Characters and Unicode

Total characters1295
Distinct characters8
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 430
99.3%
173 1
 
0.2%
54 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:17.703909image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:17.780732image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
430
49.9%
0 430
49.9%
173 1
 
0.1%
54 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 430
33.2%
430
33.2%
0 430
33.2%
1 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 435
33.6%
Dash Punctuation 430
33.2%
Space Separator 430
33.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
98.9%
1 1
 
0.2%
7 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Space Separator
ValueCountFrequency (%)
430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 430
33.2%
430
33.2%
0 430
33.2%
1 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 430
33.2%
430
33.2%
0 430
33.2%
1 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%

58 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
424 
1
 
7
2
 
1

Length

Max length3
Median length3
Mean length2.962963
Min length1

Characters and Unicode

Total characters1280
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 424
97.9%
1 7
 
1.6%
2 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:17.848905image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:17.935058image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
424
49.5%
0 424
49.5%
1 7
 
0.8%
2 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 7
 
0.5%
2 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.8%
Dash Punctuation 424
33.1%
Space Separator 424
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
98.1%
1 7
 
1.6%
2 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 424
100.0%
Space Separator
ValueCountFrequency (%)
424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 7
 
0.5%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 7
 
0.5%
2 1
 
0.1%

59 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
428 
59
 
4

Length

Max length3
Median length3
Mean length2.9907407
Min length2

Characters and Unicode

Total characters1292
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row59
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 428
98.8%
59 4
 
0.9%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:18.001782image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:18.215117image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
428
49.8%
0 428
49.8%
59 4
 
0.5%

Most occurring characters

ValueCountFrequency (%)
- 428
33.1%
428
33.1%
0 428
33.1%
5 4
 
0.3%
9 4
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 436
33.7%
Dash Punctuation 428
33.1%
Space Separator 428
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 428
98.2%
5 4
 
0.9%
9 4
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 428
100.0%
Space Separator
ValueCountFrequency (%)
428
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 428
33.1%
428
33.1%
0 428
33.1%
5 4
 
0.3%
9 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 428
33.1%
428
33.1%
0 428
33.1%
5 4
 
0.3%
9 4
 
0.3%

60 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct40
Distinct (%)9.3%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
334 
1
 
24
2
 
13
8
 
7
19
 
5
Other values (35)
49 

Length

Max length7
Median length3
Mean length2.8449074
Min length1

Characters and Unicode

Total characters1229
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)6.5%

Sample

1st row426,428
2nd row100,334
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 334
77.1%
1 24
 
5.5%
2 13
 
3.0%
8 7
 
1.6%
19 5
 
1.2%
16 5
 
1.2%
43 4
 
0.9%
9 3
 
0.7%
11,745 3
 
0.7%
10 2
 
0.5%
Other values (30) 32
 
7.4%

Length

2023-01-03T11:53:18.282778image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
334
43.6%
0 334
43.6%
1 24
 
3.1%
2 13
 
1.7%
8 7
 
0.9%
19 5
 
0.7%
16 5
 
0.7%
43 4
 
0.5%
9 3
 
0.4%
11,745 3
 
0.4%
Other values (31) 34
 
4.4%

Most occurring characters

ValueCountFrequency (%)
0 347
28.2%
- 334
27.2%
334
27.2%
1 52
 
4.2%
4 36
 
2.9%
2 28
 
2.3%
, 19
 
1.5%
3 18
 
1.5%
8 16
 
1.3%
6 16
 
1.3%
Other values (3) 29
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 542
44.1%
Dash Punctuation 334
27.2%
Space Separator 334
27.2%
Other Punctuation 19
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 347
64.0%
1 52
 
9.6%
4 36
 
6.6%
2 28
 
5.2%
3 18
 
3.3%
8 16
 
3.0%
6 16
 
3.0%
9 10
 
1.8%
7 10
 
1.8%
5 9
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 334
100.0%
Space Separator
ValueCountFrequency (%)
334
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 347
28.2%
- 334
27.2%
334
27.2%
1 52
 
4.2%
4 36
 
2.9%
2 28
 
2.3%
, 19
 
1.5%
3 18
 
1.5%
8 16
 
1.3%
6 16
 
1.3%
Other values (3) 29
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 347
28.2%
- 334
27.2%
334
27.2%
1 52
 
4.2%
4 36
 
2.9%
2 28
 
2.3%
, 19
 
1.5%
3 18
 
1.5%
8 16
 
1.3%
6 16
 
1.3%
Other values (3) 29
 
2.4%

61 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
431 
78
 
1

Length

Max length3
Median length3
Mean length2.9976852
Min length2

Characters and Unicode

Total characters1295
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row78
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 431
99.5%
78 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:18.355944image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:18.433601image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
431
49.9%
0 431
49.9%
78 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 431
33.3%
431
33.3%
0 431
33.3%
7 1
 
0.1%
8 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 433
33.4%
Dash Punctuation 431
33.3%
Space Separator 431
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 431
99.5%
7 1
 
0.2%
8 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 431
100.0%
Space Separator
ValueCountFrequency (%)
431
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 431
33.3%
431
33.3%
0 431
33.3%
7 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 431
33.3%
431
33.3%
0 431
33.3%
7 1
 
0.1%
8 1
 
0.1%

62 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
424 
1
 
7
2
 
1

Length

Max length3
Median length3
Mean length2.962963
Min length1

Characters and Unicode

Total characters1280
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 424
97.9%
1 7
 
1.6%
2 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:18.497763image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:18.582661image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
424
49.5%
0 424
49.5%
1 7
 
0.8%
2 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 7
 
0.5%
2 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.8%
Dash Punctuation 424
33.1%
Space Separator 424
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
98.1%
1 7
 
1.6%
2 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 424
100.0%
Space Separator
ValueCountFrequency (%)
424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 7
 
0.5%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 7
 
0.5%
2 1
 
0.1%

63 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
427 
148
 
5

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 427
98.6%
148 5
 
1.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:18.643827image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:18.715051image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
427
49.7%
0 427
49.7%
148 5
 
0.6%

Most occurring characters

ValueCountFrequency (%)
- 427
32.9%
427
32.9%
0 427
32.9%
1 5
 
0.4%
4 5
 
0.4%
8 5
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 442
34.1%
Dash Punctuation 427
32.9%
Space Separator 427
32.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 427
96.6%
1 5
 
1.1%
4 5
 
1.1%
8 5
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 427
100.0%
Space Separator
ValueCountFrequency (%)
427
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 427
32.9%
427
32.9%
0 427
32.9%
1 5
 
0.4%
4 5
 
0.4%
8 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 427
32.9%
427
32.9%
0 427
32.9%
1 5
 
0.4%
4 5
 
0.4%
8 5
 
0.4%

64 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
420 
4
 
7
1
 
4
8
 
1

Length

Max length3
Median length3
Mean length2.9444444
Min length1

Characters and Unicode

Total characters1272
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 420
97.0%
4 7
 
1.6%
1 4
 
0.9%
8 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:18.779808image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:18.867095image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
420
49.3%
0 420
49.3%
4 7
 
0.8%
1 4
 
0.5%
8 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 420
33.0%
420
33.0%
0 420
33.0%
4 7
 
0.6%
1 4
 
0.3%
8 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
34.0%
Dash Punctuation 420
33.0%
Space Separator 420
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 420
97.2%
4 7
 
1.6%
1 4
 
0.9%
8 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 420
100.0%
Space Separator
ValueCountFrequency (%)
420
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 420
33.0%
420
33.0%
0 420
33.0%
4 7
 
0.6%
1 4
 
0.3%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 420
33.0%
420
33.0%
0 420
33.0%
4 7
 
0.6%
1 4
 
0.3%
8 1
 
0.1%

65 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
409 
1
 
15
6
 
3
2
 
3
4
 
2

Length

Max length3
Median length3
Mean length2.8935185
Min length1

Characters and Unicode

Total characters1250
Distinct characters7
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 409
94.5%
1 15
 
3.5%
6 3
 
0.7%
2 3
 
0.7%
4 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:18.936423image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:19.025669image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
409
48.6%
0 409
48.6%
1 15
 
1.8%
6 3
 
0.4%
2 3
 
0.4%
4 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 409
32.7%
409
32.7%
0 409
32.7%
1 15
 
1.2%
6 3
 
0.2%
2 3
 
0.2%
4 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
34.6%
Dash Punctuation 409
32.7%
Space Separator 409
32.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 409
94.7%
1 15
 
3.5%
6 3
 
0.7%
2 3
 
0.7%
4 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 409
100.0%
Space Separator
ValueCountFrequency (%)
409
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 409
32.7%
409
32.7%
0 409
32.7%
1 15
 
1.2%
6 3
 
0.2%
2 3
 
0.2%
4 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 409
32.7%
409
32.7%
0 409
32.7%
1 15
 
1.2%
6 3
 
0.2%
2 3
 
0.2%
4 2
 
0.2%

66 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
421 
1
 
11

Length

Max length3
Median length3
Mean length2.9490741
Min length1

Characters and Unicode

Total characters1274
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row1
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 421
97.2%
1 11
 
2.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:19.098401image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:19.179662image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
421
49.4%
0 421
49.4%
1 11
 
1.3%

Most occurring characters

ValueCountFrequency (%)
- 421
33.0%
421
33.0%
0 421
33.0%
1 11
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.9%
Dash Punctuation 421
33.0%
Space Separator 421
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 421
97.5%
1 11
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 421
100.0%
Space Separator
ValueCountFrequency (%)
421
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1274
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 421
33.0%
421
33.0%
0 421
33.0%
1 11
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 421
33.0%
421
33.0%
0 421
33.0%
1 11
 
0.9%

67 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
424 
1
 
8

Length

Max length3
Median length3
Mean length2.962963
Min length1

Characters and Unicode

Total characters1280
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 424
97.9%
1 8
 
1.8%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:19.245710image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:19.330969image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
424
49.5%
0 424
49.5%
1 8
 
0.9%

Most occurring characters

ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 8
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.8%
Dash Punctuation 424
33.1%
Space Separator 424
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
98.1%
1 8
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 424
100.0%
Space Separator
ValueCountFrequency (%)
424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 8
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 8
 
0.6%

68 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
430 
2
 
2

Length

Max length3
Median length3
Mean length2.9907407
Min length1

Characters and Unicode

Total characters1292
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 430
99.3%
2 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:19.397617image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:19.479825image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
430
49.9%
0 430
49.9%
2 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.4%
Dash Punctuation 430
33.3%
Space Separator 430
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
99.5%
2 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Space Separator
ValueCountFrequency (%)
430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

70 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct12
Distinct (%)2.8%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
364 
3
 
18
2
 
15
1
 
13
5
 
7
Other values (7)
 
15

Length

Max length5
Median length3
Mean length2.7731481
Min length1

Characters and Unicode

Total characters1198
Distinct characters10
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row3,163
2nd row3
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 364
84.1%
3 18
 
4.2%
2 15
 
3.5%
1 13
 
3.0%
5 7
 
1.6%
1,044 3
 
0.7%
133 3
 
0.7%
22 3
 
0.7%
3,163 2
 
0.5%
134 2
 
0.5%
Other values (2) 2
 
0.5%

Length

2023-01-03T11:53:19.546033image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
364
45.7%
0 364
45.7%
3 18
 
2.3%
2 15
 
1.9%
1 13
 
1.6%
5 7
 
0.9%
1,044 3
 
0.4%
133 3
 
0.4%
22 3
 
0.4%
3,163 2
 
0.3%
Other values (3) 4
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 367
30.6%
- 364
30.4%
364
30.4%
3 30
 
2.5%
1 25
 
2.1%
2 22
 
1.8%
4 9
 
0.8%
5 8
 
0.7%
, 6
 
0.5%
6 3
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 464
38.7%
Dash Punctuation 364
30.4%
Space Separator 364
30.4%
Other Punctuation 6
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 367
79.1%
3 30
 
6.5%
1 25
 
5.4%
2 22
 
4.7%
4 9
 
1.9%
5 8
 
1.7%
6 3
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%
Space Separator
ValueCountFrequency (%)
364
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 367
30.6%
- 364
30.4%
364
30.4%
3 30
 
2.5%
1 25
 
2.1%
2 22
 
1.8%
4 9
 
0.8%
5 8
 
0.7%
, 6
 
0.5%
6 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 367
30.6%
- 364
30.4%
364
30.4%
3 30
 
2.5%
1 25
 
2.1%
2 22
 
1.8%
4 9
 
0.8%
5 8
 
0.7%
, 6
 
0.5%
6 3
 
0.3%

71 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
430 
2
 
2

Length

Max length3
Median length3
Mean length2.9907407
Min length1

Characters and Unicode

Total characters1292
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 430
99.3%
2 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:19.628111image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:19.714720image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
430
49.9%
0 430
49.9%
2 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.4%
Dash Punctuation 430
33.3%
Space Separator 430
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
99.5%
2 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Space Separator
ValueCountFrequency (%)
430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

75 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)4.2%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
391 
1
 
12
2
 
5
49
 
5
4,666
 
3
Other values (13)
 
16

Length

Max length7
Median length3
Mean length2.9791667
Min length1

Characters and Unicode

Total characters1287
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.3%

Sample

1st row100,884
2nd row31,684
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 391
90.3%
1 12
 
2.8%
2 5
 
1.2%
49 5
 
1.2%
4,666 3
 
0.7%
12 2
 
0.5%
75 2
 
0.5%
13,595 2
 
0.5%
100,884 1
 
0.2%
117 1
 
0.2%
Other values (8) 8
 
1.8%

Length

2023-01-03T11:53:19.790991image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
391
47.5%
0 391
47.5%
1 12
 
1.5%
2 5
 
0.6%
49 5
 
0.6%
4,666 3
 
0.4%
12 2
 
0.2%
75 2
 
0.2%
13,595 2
 
0.2%
13,577 1
 
0.1%
Other values (9) 9
 
1.1%

Most occurring characters

ValueCountFrequency (%)
0 394
30.6%
- 391
30.4%
391
30.4%
1 25
 
1.9%
4 13
 
1.0%
, 12
 
0.9%
6 11
 
0.9%
9 10
 
0.8%
5 10
 
0.8%
2 9
 
0.7%
Other values (3) 21
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 493
38.3%
Dash Punctuation 391
30.4%
Space Separator 391
30.4%
Other Punctuation 12
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 394
79.9%
1 25
 
5.1%
4 13
 
2.6%
6 11
 
2.2%
9 10
 
2.0%
5 10
 
2.0%
2 9
 
1.8%
3 9
 
1.8%
7 8
 
1.6%
8 4
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 391
100.0%
Space Separator
ValueCountFrequency (%)
391
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 394
30.6%
- 391
30.4%
391
30.4%
1 25
 
1.9%
4 13
 
1.0%
, 12
 
0.9%
6 11
 
0.9%
9 10
 
0.8%
5 10
 
0.8%
2 9
 
0.7%
Other values (3) 21
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 394
30.6%
- 391
30.4%
391
30.4%
1 25
 
1.9%
4 13
 
1.0%
, 12
 
0.9%
6 11
 
0.9%
9 10
 
0.8%
5 10
 
0.8%
2 9
 
0.7%
Other values (3) 21
 
1.6%

77 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
430 
2
 
2

Length

Max length3
Median length3
Mean length2.9907407
Min length1

Characters and Unicode

Total characters1292
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 430
99.3%
2 2
 
0.5%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:19.867404image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:19.951956image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
430
49.9%
0 430
49.9%
2 2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.4%
Dash Punctuation 430
33.3%
Space Separator 430
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
99.5%
2 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Space Separator
ValueCountFrequency (%)
430
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 430
33.3%
430
33.3%
0 430
33.3%
2 2
 
0.2%

78 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
424 
2
 
7
4
 
1

Length

Max length3
Median length3
Mean length2.962963
Min length1

Characters and Unicode

Total characters1280
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row4
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 424
97.9%
2 7
 
1.6%
4 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:20.020780image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:20.104711image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
424
49.5%
0 424
49.5%
2 7
 
0.8%
4 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
2 7
 
0.5%
4 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.8%
Dash Punctuation 424
33.1%
Space Separator 424
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
98.1%
2 7
 
1.6%
4 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 424
100.0%
Space Separator
ValueCountFrequency (%)
424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
2 7
 
0.5%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
2 7
 
0.5%
4 1
 
0.1%

80 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)3.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
382 
1
 
14
7
 
8
2
 
5
3
 
5
Other values (11)
 
18

Length

Max length5
Median length3
Mean length2.8263889
Min length1

Characters and Unicode

Total characters1221
Distinct characters12
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)1.6%

Sample

1st row212
2nd row8
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 382
88.2%
1 14
 
3.2%
7 8
 
1.8%
2 5
 
1.2%
3 5
 
1.2%
1,605 4
 
0.9%
8 3
 
0.7%
60 2
 
0.5%
6 2
 
0.5%
212 1
 
0.2%
Other values (6) 6
 
1.4%

Length

2023-01-03T11:53:20.175228image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
382
46.9%
0 382
46.9%
1 14
 
1.7%
7 8
 
1.0%
2 5
 
0.6%
3 5
 
0.6%
1,605 4
 
0.5%
8 3
 
0.4%
6 2
 
0.2%
60 2
 
0.2%
Other values (7) 7
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 388
31.8%
- 382
31.3%
382
31.3%
1 20
 
1.6%
6 13
 
1.1%
7 8
 
0.7%
2 7
 
0.6%
3 6
 
0.5%
5 6
 
0.5%
, 4
 
0.3%
Other values (2) 5
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 453
37.1%
Dash Punctuation 382
31.3%
Space Separator 382
31.3%
Other Punctuation 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 388
85.7%
1 20
 
4.4%
6 13
 
2.9%
7 8
 
1.8%
2 7
 
1.5%
3 6
 
1.3%
5 6
 
1.3%
8 3
 
0.7%
4 2
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 382
100.0%
Space Separator
ValueCountFrequency (%)
382
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1221
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 388
31.8%
- 382
31.3%
382
31.3%
1 20
 
1.6%
6 13
 
1.1%
7 8
 
0.7%
2 7
 
0.6%
3 6
 
0.5%
5 6
 
0.5%
, 4
 
0.3%
Other values (2) 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 388
31.8%
- 382
31.3%
382
31.3%
1 20
 
1.6%
6 13
 
1.1%
7 8
 
0.7%
2 7
 
0.6%
3 6
 
0.5%
5 6
 
0.5%
, 4
 
0.3%
Other values (2) 5
 
0.4%

81 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
428 
1
 
4

Length

Max length3
Median length3
Mean length2.9814815
Min length1

Characters and Unicode

Total characters1288
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 428
98.8%
1 4
 
0.9%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:20.258719image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:20.338974image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
428
49.8%
0 428
49.8%
1 4
 
0.5%

Most occurring characters

ValueCountFrequency (%)
- 428
33.2%
428
33.2%
0 428
33.2%
1 4
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.5%
Dash Punctuation 428
33.2%
Space Separator 428
33.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 428
99.1%
1 4
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 428
100.0%
Space Separator
ValueCountFrequency (%)
428
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 428
33.2%
428
33.2%
0 428
33.2%
1 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 428
33.2%
428
33.2%
0 428
33.2%
1 4
 
0.3%

83 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
424 
1
 
7
2
 
1

Length

Max length3
Median length3
Mean length2.962963
Min length1

Characters and Unicode

Total characters1280
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 424
97.9%
1 7
 
1.6%
2 1
 
0.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:20.404846image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:20.491731image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
424
49.5%
0 424
49.5%
1 7
 
0.8%
2 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 7
 
0.5%
2 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
33.8%
Dash Punctuation 424
33.1%
Space Separator 424
33.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
98.1%
1 7
 
1.6%
2 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 424
100.0%
Space Separator
ValueCountFrequency (%)
424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 7
 
0.5%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 424
33.1%
424
33.1%
0 424
33.1%
1 7
 
0.5%
2 1
 
0.1%

82 Mbps
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
418 
1
 
14

Length

Max length3
Median length3
Mean length2.9351852
Min length1

Characters and Unicode

Total characters1268
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 418
96.5%
1 14
 
3.2%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:20.559828image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:20.645678image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
418
49.2%
0 418
49.2%
1 14
 
1.6%

Most occurring characters

ValueCountFrequency (%)
- 418
33.0%
418
33.0%
0 418
33.0%
1 14
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
34.1%
Dash Punctuation 418
33.0%
Space Separator 418
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 418
96.8%
1 14
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 418
100.0%
Space Separator
ValueCountFrequency (%)
418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1268
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 418
33.0%
418
33.0%
0 418
33.0%
1 14
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 418
33.0%
418
33.0%
0 418
33.0%
1 14
 
1.1%

86 Mbps
Categorical

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
- 0
432 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters3
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row- 0
2nd row- 0
3rd row- 0
4th row- 0
5th row- 0

Common Values

ValueCountFrequency (%)
- 0 432
99.8%
(Missing) 1
 
0.2%

Length

2023-01-03T11:53:20.708411image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-01-03T11:53:20.779866image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
432
50.0%
0 432
50.0%

Most occurring characters

ValueCountFrequency (%)
- 432
33.3%
432
33.3%
0 432
33.3%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 432
33.3%
Space Separator 432
33.3%
Decimal Number 432
33.3%

Most frequent character per category

Dash Punctuation
ValueCountFrequency (%)
- 432
100.0%
Space Separator
ValueCountFrequency (%)
432
100.0%
Decimal Number
ValueCountFrequency (%)
0 432
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 432
33.3%
432
33.3%
0 432
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 432
33.3%
432
33.3%
0 432
33.3%

Interactions

2023-01-03T11:53:03.548050image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2023-01-03T11:53:20.909951image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
AñoTrimestreProvincia0,256 Mbps0,375 Mbps0,625 Mbps0,5 Mbps0,512 Mbps0,75 Mbps1,2 Mbps1,25 Mbps1,5 Mbps2,2 Mbps2,5 Mbps3,2 Mbps3,3 Mbps4,5 Mbps6,4 Mbps7,5 Mbps10,6 Mbps11 Mbps13 Mbps14 Mbps16 Mbps17 Mbps19 Mbps21 Mbps22 Mbps23 Mbps24 Mbps25,1 Mbps25,11 Mbps25,5 Mbps26 Mbps28 Mbps29 Mbps31 Mbps32 Mbps34 Mbps35 Mbps36 Mbps37 Mbps38 Mbps39 Mbps40 Mbps41 Mbps45 Mbps46 Mbps47 Mbps48 Mbps49 Mbps51 Mbps52 Mbps54 Mbps55 Mbps56 Mbps58 Mbps59 Mbps60 Mbps61 Mbps62 Mbps63 Mbps64 Mbps65 Mbps66 Mbps67 Mbps68 Mbps70 Mbps71 Mbps75 Mbps77 Mbps78 Mbps80 Mbps81 Mbps83 Mbps82 Mbps
Año1.0000.2980.0000.1740.0980.0980.3370.4260.3880.0730.0980.1000.0840.1350.0090.1060.1670.0880.1000.0640.1200.1490.1000.1240.0790.0970.1020.0000.0800.2010.0880.1000.0880.1680.0670.0780.1130.1070.1220.1870.0800.0680.1370.1030.2220.0870.0970.1370.1120.0000.0000.0680.0940.0690.0710.0000.1370.1150.1590.1670.1370.0640.1190.0820.0340.1100.0680.0900.0680.1300.0680.1370.1170.0730.1370.000
Trimestre0.2981.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0340.0000.0000.0000.0000.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Provincia0.0000.0001.0000.5490.6610.6610.8370.6040.5020.4020.6610.3680.4690.3010.4020.5210.0000.3300.2350.6180.4560.3850.3000.3330.4730.1820.4570.7020.3300.2520.3300.2320.3300.0000.3680.6610.2690.1900.4170.3970.0280.2320.4050.3570.3690.5720.3050.4050.4650.0000.9740.2320.3680.4350.3150.0000.4050.4020.2630.0000.4050.4650.4050.3370.7410.6180.2320.3810.2320.2290.2320.4050.3050.4020.4050.782
0,256 Mbps0.1740.0000.5491.0000.0000.0000.7710.8240.6100.6850.0000.6010.6540.6350.0000.7160.9870.4930.7600.8340.5150.5820.4670.7350.5550.0000.7100.9520.6830.4590.4930.3880.4930.0000.3640.8650.7330.5550.8860.5830.1600.0000.7390.5140.6960.5960.4290.0000.0000.0000.7590.1690.5550.5120.7610.0000.9230.9870.6990.9870.9230.3380.0000.4670.9870.0000.0000.4800.0000.5900.0000.9230.6480.7350.9230.000
0,375 Mbps0.0980.0000.6610.0001.0000.9430.6420.7380.0000.0000.9430.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
0,625 Mbps0.0980.0000.6610.0000.9431.0000.6420.7380.0000.0000.9430.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
0,5 Mbps0.3370.0000.8370.7710.6420.6421.0000.4090.7170.3380.6420.7070.7670.6430.0000.7050.8830.7550.8850.6290.6490.5660.5980.5050.8230.6860.7900.8530.7730.3860.7550.8830.7550.0000.2880.8830.6870.4490.8530.5610.2610.8830.4090.7310.5580.8240.3530.7280.5220.0000.8830.0000.5370.6380.8740.0000.8840.8830.5630.8830.8840.4750.7730.7020.8420.4520.8830.7180.8830.6240.8830.8840.6580.8830.8840.591
0,512 Mbps0.4260.0000.6040.8240.7380.7380.4091.0000.1600.7450.7380.7570.6550.6780.6720.8440.9260.5470.7420.7720.5870.6390.5430.5980.4480.0000.6740.8040.7440.3010.5470.5040.5470.2900.8050.6320.7280.5990.8050.3560.3610.0000.8790.3920.4580.7120.3680.4880.0000.0000.5890.3210.8780.5090.7100.0000.8360.9260.5010.9260.8360.6600.4400.4730.7540.8070.0000.5250.0000.5460.0000.8360.5850.5490.8360.572
0,75 Mbps0.3880.0000.5020.6100.0000.0000.7170.1601.0000.3390.0000.5270.6430.6940.0000.6700.8850.7310.8380.2050.6340.6370.5450.4820.7570.6700.7570.8560.7760.4550.7310.8850.7310.0000.0950.8850.7870.6070.8320.3380.4270.8850.6440.7100.5020.5730.0000.6010.4300.0000.8850.0000.4060.6420.7910.0000.8860.8850.5940.8850.8860.4800.6710.7580.7150.0000.8850.6520.8850.5800.8850.8860.5930.8850.8860.000
1,2 Mbps0.0730.0000.4020.6850.0000.0000.3380.7450.3391.0000.0000.4670.0000.0000.0000.0000.0000.0000.0000.0000.0000.9870.0000.9700.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.7100.0000.0000.7510.0000.9240.0000.9630.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.9550.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4600.0000.0000.000
1,25 Mbps0.0980.0000.6610.0000.9430.9430.6420.7380.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
1,5 Mbps0.1000.0000.3680.6010.0000.0000.7070.7570.5270.4670.0001.0000.5810.5560.0000.9110.6870.6340.8020.6420.4430.4890.5000.6190.4700.0000.5330.8920.7040.5720.6340.5050.6340.0000.1960.7230.5150.3740.6610.4720.2920.0000.5070.0000.6640.6890.3720.0000.0000.0000.7200.0000.3990.6310.6340.0000.8300.8490.6700.6870.8300.1900.0000.5070.0000.0000.0000.5220.0000.4800.0000.8300.4710.8490.8300.000
2,2 Mbps0.0840.0000.4690.6540.0000.0000.7670.6550.6430.0000.0000.5811.0000.9600.0000.8120.0000.8640.0000.9990.9400.7620.8820.8570.0000.0000.0000.0000.0000.3260.8640.9990.8640.0000.3450.0000.0000.0000.0000.7000.0000.0000.0000.0000.9020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.8940.0000.0000.0000.0000.0000.0000.0000.0000.6090.0000.7670.0000.0000.0000.0000.0000.000
2,5 Mbps0.1350.0000.3010.6350.0000.0000.6430.6780.6940.0000.0000.5560.9601.0000.9920.9920.9920.9930.7900.9250.6930.6360.7350.7650.5610.0000.6990.7810.6550.3930.9930.9920.9930.0000.5620.6500.7350.5630.8450.5150.0000.0000.0000.0000.8310.6320.0000.0000.0000.0000.6460.0000.5620.6450.7060.0000.9930.9920.8730.9920.9930.0000.0000.4920.0000.0000.0000.5640.0000.6590.0000.9930.5670.9920.9930.512
3,2 Mbps0.0090.0000.4020.0000.0000.0000.0000.6720.0000.0000.0000.0000.0000.9921.0000.0000.0000.0000.0000.0000.4030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2960.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.458
3,3 Mbps0.1060.0000.5210.7160.0000.0000.7050.8440.6700.0000.0000.9110.8120.9920.0001.0000.0000.9990.0000.4950.9090.8560.9210.9700.0000.0000.0000.0000.0000.4590.9990.4270.9990.0000.0000.0000.0000.0000.0000.5470.0000.0000.0000.0000.9240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.9550.0000.0000.0000.0000.0000.0000.0000.0000.7740.0000.5510.0000.0000.0000.0000.0000.000
4,5 Mbps0.1670.0000.0000.9870.0000.0000.8830.9260.8850.0000.0000.6870.0000.9920.0000.0001.0000.0000.9980.0000.6850.6870.4700.9700.4010.0000.9940.1450.7020.6210.0000.0000.0000.0000.0000.0000.9980.9980.9990.6590.0000.0000.0000.0000.9240.4010.0000.0000.0000.0000.1000.0000.0000.0000.9950.0000.9990.2420.9550.4970.9990.0000.0000.5690.0000.0000.0000.6890.0000.9810.0000.9990.9840.0000.9990.000
6,4 Mbps0.0880.0000.3300.4930.0000.0000.7550.5470.7310.0000.0000.6340.8640.9930.0000.9990.0001.0000.0000.7010.9300.7380.8330.8320.0000.0000.0000.0000.0000.2201.0000.9991.0000.0000.0000.0000.0000.0000.0000.5800.0000.0000.0000.0000.9250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.9560.0000.0000.0000.0000.0000.0000.0000.0000.6920.0000.6870.0000.0000.0000.0000.0000.000
7,5 Mbps0.1000.0000.2350.7600.0000.0000.8850.7420.8380.0000.0000.8020.0000.7900.0000.0000.9980.0001.0000.0000.7040.7100.6260.9730.4910.0000.7930.6410.7040.6990.0000.0000.0000.0000.0000.3140.7330.5730.8120.7020.0000.0000.0000.0000.9260.7040.0000.0000.0000.0000.5640.0000.5530.4660.9980.0000.9230.8620.9570.9980.9230.0000.0000.5990.0000.0000.0000.8040.0000.9840.0000.9230.9860.4890.9230.000
10,6 Mbps0.0640.0000.6180.8340.0000.0000.6290.7720.2050.0000.0000.6420.9990.9250.0000.4950.0000.7010.0001.0000.8890.7820.9090.9260.0000.0000.0000.0000.0000.4640.7010.0000.7010.0000.4930.0000.0000.0000.0000.7380.0000.0000.0000.0000.8770.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.8270.0000.0000.0000.0000.0000.0000.0000.0000.7970.0000.4590.0000.0000.1630.0000.0000.000
11 Mbps0.1200.0000.4560.5150.0000.0000.6490.5870.6340.0000.0000.4430.9400.6930.4030.9090.6850.9300.7040.8891.0000.5530.6540.6560.7450.0000.6390.7490.8010.4770.9300.9860.9300.0000.3360.6500.5930.3710.6910.5180.0000.0000.0000.3670.7880.5730.0000.0000.0000.0000.8790.0000.4700.3630.7060.0000.6920.9860.8090.6850.6920.0000.0000.5670.8070.0000.0000.6610.0000.5090.0000.6920.5680.4990.6920.749
13 Mbps0.1490.0000.3850.5820.0000.0000.5660.6390.6370.9870.0000.4890.7620.6360.0000.8560.6870.7380.7100.7820.5531.0000.5500.7370.5540.0000.6190.6750.8020.6070.7380.7370.7380.0000.3390.6760.5790.3740.5680.6550.2920.0000.9120.0000.7990.5800.5620.0000.0000.0000.9380.0000.4720.2970.6450.0000.6700.9870.6910.6870.6700.0000.0000.4930.0000.0000.0000.5090.0000.5680.0000.6700.4940.3730.6700.000
14 Mbps0.1000.0000.3000.4670.0000.0000.5980.5430.5450.0000.0000.5000.8820.7350.0000.9210.4700.8330.6260.9090.6540.5501.0000.8100.6690.0000.5840.9200.5550.4420.8330.8500.8330.0000.5350.9310.5780.2360.5790.4760.0000.0000.0000.0000.8580.6890.0000.0000.0000.0000.8610.0000.4720.5450.6230.0000.6880.9870.7940.4700.6880.0000.1060.5230.0000.0000.0000.6020.0000.4760.0000.6880.5360.8490.6880.000
16 Mbps0.1240.0000.3330.7350.0000.0000.5050.5980.4820.9700.0000.6190.8570.7650.0000.9700.9700.8320.9730.9260.6560.7370.8101.0000.7340.0000.7500.8880.9730.3140.8320.7790.8320.0000.9720.7770.8330.7820.8570.4430.0000.0000.7720.4270.6920.6660.3760.0000.0000.0000.7740.3000.5630.5390.9480.0000.9330.9700.6520.9700.9330.9700.0000.5670.9700.0000.0000.6680.0000.5270.0000.9330.6880.8300.9330.216
17 Mbps0.0790.0000.4730.5550.0000.0000.8230.4480.7570.0000.0000.4700.0000.5610.0000.0000.4010.0000.4910.0000.7450.5540.6690.7341.0000.4620.5660.3710.5710.6830.0000.0000.0000.0000.0000.0000.4920.2750.4060.6930.0000.5710.0000.0000.8350.4640.0000.0000.0000.0000.3660.0000.4020.1020.5850.0000.4280.8130.8160.4010.4280.0000.2720.8160.0000.0000.5710.8680.5710.5020.5710.4280.8580.0000.4280.000
19 Mbps0.0970.0000.1820.0000.0000.0000.6860.0000.6700.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4621.0000.0000.0000.0000.4680.0000.0000.0000.5730.0000.0000.0000.0000.0000.0000.0000.6090.0000.0000.1940.0000.0000.0000.0000.0000.0000.0000.0000.0000.4130.0000.0000.0000.0830.0000.0000.0000.5690.8110.0000.0000.6090.0000.6090.0000.6090.0000.2350.0000.0000.000
21 Mbps0.1020.0000.4570.7100.0000.0000.7900.6740.7570.0000.0000.5330.0000.6990.0000.0000.9940.0000.7930.0000.6390.6190.5840.7500.5660.0001.0000.8100.6590.4620.0000.0000.0000.0000.0000.7450.7380.5670.8690.6390.0000.0000.0000.3320.7880.6360.4040.0000.0000.0000.8270.0000.5660.6490.7570.0000.9950.9940.8000.9940.9950.0000.0000.4970.7060.0000.0000.5850.0000.6560.0000.9950.7290.9940.9950.000
22 Mbps0.0000.0000.7020.9520.0000.0000.8530.8040.8560.0000.0000.8920.0000.7810.0000.0000.1450.0000.6410.0000.7490.6750.9200.8880.3710.0000.8101.0000.4880.8750.0000.0000.0000.0000.0000.6770.5380.3020.5680.6640.0000.0000.0000.0000.9240.6370.0000.0000.0000.0000.6990.0000.4380.5560.6740.0000.7770.3840.9550.1450.7770.0000.0000.5830.0000.0000.0000.8110.0000.7110.0000.7770.8610.5460.7770.000
23 Mbps0.0800.0000.3300.6830.0000.0000.7730.7440.7760.0000.0000.7040.0000.6550.0000.0000.7020.0000.7040.0000.8010.8020.5550.9730.5710.0000.6590.4881.0000.5960.0000.0000.0000.0000.7040.0000.5730.4010.5700.6190.0000.0000.0000.0000.7240.5710.0000.0000.0000.0000.4570.0000.4930.2050.8120.0000.6490.9980.7620.7020.6490.9980.0000.5710.0000.0000.0000.7310.0000.7400.0000.6490.7980.0000.6490.000
24 Mbps0.2010.0000.2520.4590.0000.0000.3860.3010.4550.0000.0000.5720.3260.3930.0000.4590.6210.2200.6990.4640.4770.6070.4420.3140.6830.4680.4620.8750.5961.0000.2200.0000.2200.6230.0000.8220.4920.4060.5920.3220.9510.0000.6250.0000.4570.5680.0000.0000.0000.9430.8130.0000.2480.5170.5360.0000.7380.7650.3750.6210.7380.0000.0000.5800.0000.0000.0000.6650.0000.5330.0000.7380.3670.7650.7380.000
25,1 Mbps0.0880.0000.3300.4930.0000.0000.7550.5470.7310.0000.0000.6340.8640.9930.0000.9990.0001.0000.0000.7010.9300.7380.8330.8320.0000.0000.0000.0000.0000.2201.0000.9991.0000.0000.0000.0000.0000.0000.0000.5800.0000.0000.0000.0000.9250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.9560.0000.0000.0000.0000.0000.0000.0000.0000.6920.0000.6870.0000.0000.0000.0000.0000.000
25,11 Mbps0.1000.0000.2320.3880.0000.0000.8830.5040.8850.0000.0000.5050.9990.9920.0000.4270.0000.9990.0000.0000.9860.7370.8500.7790.0000.0000.0000.0000.0000.0000.9991.0000.9990.0000.0000.0000.0000.0000.0000.6590.0000.0000.0000.0000.9240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.9550.0000.0000.0000.0000.0000.0000.0000.0000.3230.0000.9810.0000.0000.0000.0000.0000.000
25,5 Mbps0.0880.0000.3300.4930.0000.0000.7550.5470.7310.0000.0000.6340.8640.9930.0000.9990.0001.0000.0000.7010.9300.7380.8330.8320.0000.0000.0000.0000.0000.2201.0000.9991.0000.0000.0000.0000.0000.0000.0000.5800.0000.0000.0000.0000.9250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.9560.0000.0000.0000.0000.0000.0000.0000.0000.6920.0000.6870.0000.0000.0000.0000.0000.000
26 Mbps0.1680.0000.0000.0000.0000.0000.0000.2900.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.5730.0000.0000.0000.6230.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1370.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1100.0000.0000.0000.0000.0000.0000.0000.255
28 Mbps0.0670.0000.3680.3640.0000.0000.2880.8050.0950.0000.0000.1960.3450.5620.0000.0000.0000.0000.0000.4930.3360.3390.5350.9720.0000.0000.0000.0000.7040.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.1120.0000.0000.0000.0000.4350.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4440.0000.0000.9990.0000.0000.0000.0000.0000.3370.0000.2070.0000.0000.0000.0000.0000.000
29 Mbps0.0780.0000.6610.8650.0000.0000.8830.6320.8850.0000.0000.7230.0000.6500.0000.0000.0000.0000.3140.0000.6500.6760.9310.7770.0000.0000.7450.6770.0000.8220.0000.0000.0000.0000.0001.0000.0000.0000.3200.6030.0000.0000.0000.0000.9240.2510.0000.0000.0000.0000.6580.0000.0000.5870.4790.0000.4910.0000.8480.0000.4910.0000.0000.2180.0000.0000.0000.6860.0000.4840.0000.4910.7020.5770.4910.000
31 Mbps0.1130.0000.2690.7330.0000.0000.6870.7280.7870.0000.0000.5150.0000.7350.0000.0000.9980.0000.7330.0000.5930.5790.5780.8330.4920.0000.7380.5380.5730.4920.0000.0000.0000.0000.0000.0001.0000.5730.7490.4690.0000.0000.0000.0000.8050.4920.0000.0000.0000.0000.3930.0000.7040.0000.7590.0000.7980.8620.7650.9980.7980.0000.0000.6120.0000.0000.0000.5780.0000.8110.0000.7980.8230.0000.7980.000
32 Mbps0.1070.0000.1900.5550.0000.0000.4490.5990.6070.0000.0000.3740.0000.5630.0000.0000.9980.0000.5730.0000.3710.3740.2360.7820.2750.0000.5670.3020.4010.4060.0000.0000.0000.0000.0000.0000.5731.0000.7040.3210.0000.0000.0000.0000.4490.2750.0000.0000.0000.0000.2170.0000.0000.0000.5690.0000.7040.4920.4950.9980.7040.0000.0000.3200.0000.0000.0000.3770.0000.5440.0000.7040.5490.0000.7040.000
34 Mbps0.1220.0000.4170.8860.0000.0000.8530.8050.8320.0000.0000.6610.0000.8450.0000.0000.9990.0000.8120.0000.6910.5680.5790.8570.4060.0000.8690.5680.5700.5920.0000.0000.0000.0000.0000.3200.7490.7041.0000.6360.0000.0000.0000.0930.8670.4630.0000.0000.0000.0000.4620.0000.2460.3990.8680.0000.8530.6250.9400.9990.8530.0000.0000.5420.3650.0000.0000.7090.0000.8330.0000.8530.9140.5060.8530.000
35 Mbps0.1870.0000.3970.5830.0000.0000.5610.3560.3380.7100.0000.4720.7000.5150.2960.5470.6590.5800.7020.7380.5180.6550.4760.4430.6930.0000.6390.6640.6190.3220.5800.6590.5800.0000.1120.6030.4690.3210.6361.0000.0000.0000.4620.4260.4570.5720.7150.0000.0000.0000.6290.0000.3210.4920.7250.0000.6490.7750.4200.6590.6490.0000.0000.5040.8840.0000.0000.5580.0000.5450.0000.6490.5110.6870.6490.315
36 Mbps0.0800.0000.0280.1600.0000.0000.2610.3610.4270.0000.0000.2920.0000.0000.0000.0000.0000.0000.0000.0000.0000.2920.0000.0000.0000.0000.0000.0000.0000.9510.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.6940.0000.6670.0000.3070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3350.0000.0000.0000.0000.0000.0000.0000.0000.1100.0000.0790.0000.0000.0000.0000.0000.000
37 Mbps0.0680.0000.2320.0000.0000.0000.8830.0000.8850.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.5710.6090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.3660.0000.0000.0000.0000.0000.0000.0000.0000.0000.3310.0000.0000.0000.2440.0000.0000.0000.7010.9970.0000.0000.7480.0000.7480.0000.7480.0000.3230.0000.0000.000
38 Mbps0.1370.0000.4050.7390.0000.0000.4090.8790.6440.7510.0000.5070.0000.0000.0000.0000.0000.0000.0000.0000.0000.9120.0000.7720.0000.0000.0000.0000.0000.6250.0000.0000.0000.0000.0000.0000.0000.0000.0000.4620.6940.0001.0000.0000.6720.0000.9640.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.7090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.5000.0000.0000.000
39 Mbps0.1030.0000.3570.5140.0000.0000.7310.3920.7100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3670.0000.0000.4270.0000.0000.3320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0930.4260.0000.0000.0001.0000.6930.0000.0000.0000.0000.0000.0000.0000.0000.0000.3910.0000.0000.0000.7230.0000.0000.0000.4000.0000.8470.0000.0000.3470.0000.8460.0000.0000.5790.0000.0000.000
40 Mbps0.2220.0000.3690.6960.0660.0660.5580.4580.5020.9240.0660.6640.9020.8310.0000.9240.9240.9250.9260.8770.7880.7990.8580.6920.8350.1940.7880.9240.7240.4570.9250.9240.9250.0000.4350.9240.8050.4490.8670.4570.6670.3660.6720.6931.0000.6000.2690.0000.0000.0000.8950.0000.5980.5970.9050.0000.9250.9240.7650.9240.9250.0000.3260.7010.8810.0000.3660.8160.3660.7670.3660.9250.8410.9240.9250.000
41 Mbps0.0870.0000.5720.5960.0000.0000.8240.7120.5730.0000.0000.6890.0000.6320.0000.0000.4010.0000.7040.0000.5730.5800.6890.6660.4640.0000.6360.6370.5710.5680.0000.0000.0000.0000.0000.2510.4920.2750.4630.5720.0000.0000.0000.0000.6001.0000.0000.0000.7860.0000.5660.0000.4020.3780.7010.0000.6140.8130.6430.4010.6140.0000.0000.5980.0000.3570.0000.6920.0000.6810.0000.6140.6840.3960.6140.000
45 Mbps0.0970.0000.3050.4290.0000.0000.3530.3680.0000.9630.0000.3720.0000.0000.0000.0000.0000.0000.0000.0000.0000.5620.0000.3760.0000.0000.4040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.7150.3070.0000.9640.0000.2690.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1310.0000.0000.0000.0000.0000.1180.0000.0000.0000.0000.0000.0000.0000.0780.0000.0000.000
46 Mbps0.1370.0000.4050.0000.0000.0000.7280.4880.6010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
47 Mbps0.1120.0000.4650.0000.0000.0000.5220.0000.4300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.7860.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
48 Mbps0.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.9430.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
49 Mbps0.0000.0000.9740.7590.0000.0000.8830.5890.8850.0000.0000.7200.0000.6460.0000.0000.1000.0000.5640.0000.8790.9380.8610.7740.3660.0000.8270.6990.4570.8130.0000.0000.0000.0000.0000.6580.3930.2170.4620.6290.0000.0000.0000.0000.8950.5660.0000.0000.0000.0001.0000.0000.3210.5150.5680.0000.6560.4010.7640.1000.6560.0000.0000.4810.0000.0000.0000.7910.0000.5840.0000.6560.6650.4010.6560.000
51 Mbps0.0680.0000.2320.1690.0000.0000.0000.3210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
52 Mbps0.0940.0000.3680.5550.0000.0000.5370.8780.4060.0000.0000.3990.0000.5620.0000.0000.0000.0000.5530.0000.4700.4720.4720.5630.4020.0000.5660.4380.4930.2480.0000.0000.0000.0000.0000.0000.7040.0000.2460.3210.0000.0000.0000.0000.5980.4020.0000.0000.0000.0000.3210.0001.0000.0000.6040.0000.3700.7030.6430.0000.3700.0000.0000.5700.0000.7860.0000.4280.0000.6810.0000.3700.7600.0000.3700.000
54 Mbps0.0690.0000.4350.5120.0000.0000.6380.5090.6420.0000.0000.6310.0000.6450.0000.0000.0000.0000.4660.0000.3630.2970.5450.5390.1020.0000.6490.5560.2050.5170.0000.0000.0000.0000.0000.5870.0000.0000.3990.4920.0000.0000.0000.0000.5970.3780.0000.0000.0000.0000.5150.0000.0001.0000.5120.0000.5940.2050.7010.0000.5940.0000.0000.3850.0000.0000.0000.4790.0000.6010.0000.5940.7250.8920.5940.000
55 Mbps0.0710.0000.3150.7610.0000.0000.8740.7100.7910.0000.0000.6340.0000.7060.0000.0000.9950.0000.9980.0000.7060.6450.6230.9480.5850.4130.7570.6740.8120.5360.0000.0000.0000.1370.0000.4790.7590.5690.8680.7250.0000.3310.0000.3910.9050.7010.0000.0000.0000.0000.5680.0000.6040.5121.0000.0000.9300.9950.9410.9950.9300.0000.0860.5670.8180.0000.3310.7500.3310.8760.3310.9300.9650.7400.9300.000
56 Mbps0.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
58 Mbps0.1370.0000.4050.9230.0000.0000.8840.8360.8860.0000.0000.8300.0000.9930.0000.0000.9990.0000.9230.0000.6920.6700.6880.9330.4280.0000.9950.7770.6490.7380.0000.0000.0000.0000.0000.4910.7980.7040.8530.6490.0000.0000.0000.0000.9250.6140.0000.0000.0000.0000.6560.0000.3700.5940.9300.0001.0000.7510.9560.9991.0000.0000.0000.6040.0000.0000.0000.7500.0000.9450.0001.0000.9550.7511.0000.000
59 Mbps0.1150.0000.4020.9870.0000.0000.8830.9260.8850.0000.0000.8490.0000.9920.0000.0000.2420.0000.8620.0000.9860.9870.9870.9700.8130.0000.9940.3840.9980.7650.0000.0000.0000.0000.0000.0000.8620.4920.6250.7750.0000.0000.0000.0000.9240.8130.0000.0000.0000.0000.4010.0000.7030.2050.9950.0000.7511.0000.9550.2420.7510.0000.0000.9080.0000.0000.0000.8990.0000.9150.0000.7510.9840.0000.7510.000
60 Mbps0.1590.0000.2630.6990.0000.0000.5630.5010.5940.9550.0000.6700.8940.8730.0000.9550.9550.9560.9570.8270.8090.6910.7940.6520.8160.0830.8000.9550.7620.3750.9560.9550.9560.0000.4440.8480.7650.4950.9400.4200.3350.2440.7090.7230.7650.6430.1310.0000.0000.0000.7640.0000.6430.7010.9410.0000.9560.9551.0000.9550.9560.0000.0000.7010.9550.0000.2440.8200.2440.7860.2440.9560.8840.9550.9560.000
61 Mbps0.1670.0000.0000.9870.0000.0000.8830.9260.8850.0000.0000.6870.0000.9920.0000.0000.4970.0000.9980.0000.6850.6870.4700.9700.4010.0000.9940.1450.7020.6210.0000.0000.0000.0000.0000.0000.9980.9980.9990.6590.0000.0000.0000.0000.9240.4010.0000.0000.0000.0000.1000.0000.0000.0000.9950.0000.9990.2420.9551.0000.9990.0000.0000.5690.0000.0000.0000.6890.0000.9810.0000.9990.9840.0000.9990.000
62 Mbps0.1370.0000.4050.9230.0000.0000.8840.8360.8860.0000.0000.8300.0000.9930.0000.0000.9990.0000.9230.0000.6920.6700.6880.9330.4280.0000.9950.7770.6490.7380.0000.0000.0000.0000.0000.4910.7980.7040.8530.6490.0000.0000.0000.0000.9250.6140.0000.0000.0000.0000.6560.0000.3700.5940.9300.0001.0000.7510.9560.9991.0000.0000.0000.6040.0000.0000.0000.7500.0000.9450.0001.0000.9550.7511.0000.000
63 Mbps0.0640.0000.4650.3380.0000.0000.4750.6600.4800.0000.0000.1900.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.9700.0000.0000.0000.0000.9980.0000.0000.0000.0000.0000.9990.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
64 Mbps0.1190.0000.4050.0000.0000.0000.7730.4400.6710.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1060.0000.2720.5690.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.7010.0000.4000.3260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0860.0000.0000.0000.0000.0000.0000.0001.0000.3980.0000.0000.7010.0000.7010.1620.7010.0000.2440.0000.0000.000
65 Mbps0.0820.0000.3370.4670.0000.0000.7020.4730.7580.0000.0000.5070.0000.4920.0000.0000.5690.0000.5990.0000.5670.4930.5230.5670.8160.8110.4970.5830.5710.5800.0000.0000.0000.0000.0000.2180.6120.3200.5420.5040.0000.9970.0000.0000.7010.5980.0000.0000.0000.0000.4810.0000.5700.3850.5670.0000.6040.9080.7010.5690.6040.0000.3981.0000.0000.0000.9970.6550.9970.6430.9970.6040.7410.3660.6040.000
66 Mbps0.0340.0000.7410.9870.0000.0000.8420.7540.7150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.8070.0000.0000.9700.0000.0000.7060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3650.8840.0000.0000.0000.8470.8810.0000.1180.0000.0000.0000.0000.0000.0000.0000.8180.0000.0000.0000.9550.0000.0000.0000.0000.0001.0000.0000.0000.7590.0000.7700.0000.0000.9840.0000.0000.000
67 Mbps0.1100.0000.6180.0000.0000.0000.4520.8070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3570.0000.0000.0000.0000.0000.0000.7860.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.3120.0000.0000.000
68 Mbps0.0680.0000.2320.0000.0000.0000.8830.0000.8850.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.5710.6090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.7480.0000.0000.3660.0000.0000.0000.0000.0000.0000.0000.0000.0000.3310.0000.0000.0000.2440.0000.0000.0000.7010.9970.0000.0001.0000.0000.7480.0000.7480.0000.3230.0000.0000.000
70 Mbps0.0900.0000.3810.4800.0000.0000.7180.5250.6520.0000.0000.5220.6090.5640.0000.7740.6890.6920.8040.7970.6610.5090.6020.6680.8680.0000.5850.8110.7310.6650.6920.3230.6920.1100.3370.6860.5780.3770.7090.5580.1100.0000.0000.3470.8160.6920.0000.0000.0000.0000.7910.0000.4280.4790.7500.0000.7500.8990.8200.6890.7500.0000.0000.6550.7590.0000.0001.0000.0000.5250.0000.7500.6310.5990.7500.000
71 Mbps0.0680.0000.2320.0000.0000.0000.8830.0000.8850.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.5710.6090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.7480.0000.0000.3660.0000.0000.0000.0000.0000.0000.0000.0000.0000.3310.0000.0000.0000.2440.0000.0000.0000.7010.9970.0000.0000.7480.0001.0000.0000.7480.0000.3230.0000.0000.000
75 Mbps0.1300.0000.2290.5900.0000.0000.6240.5460.5800.0000.0000.4800.7670.6590.0000.5510.9810.6870.9840.4590.5090.5680.4760.5270.5020.0000.6560.7110.7400.5330.6870.9810.6870.0000.2070.4840.8110.5440.8330.5450.0790.0000.0000.8460.7670.6810.0000.0000.0000.0000.5840.0000.6810.6010.8760.0000.9450.9150.7860.9810.9450.0000.1620.6430.7700.0000.0000.5250.0001.0000.0000.9450.7010.7640.9450.000
77 Mbps0.0680.0000.2320.0000.0000.0000.8830.0000.8850.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.5710.6090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.7480.0000.0000.3660.0000.0000.0000.0000.0000.0000.0000.0000.0000.3310.0000.0000.0000.2440.0000.0000.0000.7010.9970.0000.0000.7480.0000.7480.0001.0000.0000.3230.0000.0000.000
78 Mbps0.1370.0000.4050.9230.0000.0000.8840.8360.8860.0000.0000.8300.0000.9930.0000.0000.9990.0000.9230.0000.6920.6700.6880.9330.4280.0000.9950.7770.6490.7380.0000.0000.0000.0000.0000.4910.7980.7040.8530.6490.0000.0000.0000.0000.9250.6140.0000.0000.0000.0000.6560.0000.3700.5940.9300.0001.0000.7510.9560.9991.0000.0000.0000.6040.0000.0000.0000.7500.0000.9450.0001.0000.9550.7511.0000.000
80 Mbps0.1170.0000.3050.6480.0000.0000.6580.5850.5930.4600.0000.4710.0000.5670.0000.0000.9840.0000.9860.1630.5680.4940.5360.6880.8580.2350.7290.8610.7980.3670.0000.0000.0000.0000.0000.7020.8230.5490.9140.5110.0000.3230.5000.5790.8410.6840.0780.0000.0000.0000.6650.0000.7600.7250.9650.0000.9550.9840.8840.9840.9550.0000.2440.7410.9840.3120.3230.6310.3230.7010.3230.9551.0000.8750.9550.000
81 Mbps0.0730.0000.4020.7350.0000.0000.8830.5490.8850.0000.0000.8490.0000.9920.0000.0000.0000.0000.4890.0000.4990.3730.8490.8300.0000.0000.9940.5460.0000.7650.0000.0000.0000.0000.0000.5770.0000.0000.5060.6870.0000.0000.0000.0000.9240.3960.0000.0000.0000.0000.4010.0000.0000.8920.7400.0000.7510.0000.9550.0000.7510.0000.0000.3660.0000.0000.0000.5990.0000.7640.0000.7510.8751.0000.7510.000
83 Mbps0.1370.0000.4050.9230.0000.0000.8840.8360.8860.0000.0000.8300.0000.9930.0000.0000.9990.0000.9230.0000.6920.6700.6880.9330.4280.0000.9950.7770.6490.7380.0000.0000.0000.0000.0000.4910.7980.7040.8530.6490.0000.0000.0000.0000.9250.6140.0000.0000.0000.0000.6560.0000.3700.5940.9300.0001.0000.7510.9560.9991.0000.0000.0000.6040.0000.0000.0000.7500.0000.9450.0001.0000.9550.7511.0000.000
82 Mbps0.0000.0000.7820.0000.0000.0000.5910.5720.0000.0000.0000.0000.0000.5120.4580.0000.0000.0000.0000.0000.7490.0000.0000.2160.0000.0000.0000.0000.0000.0000.0000.0000.0000.2550.0000.0000.0000.0000.0000.3150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-01-03T11:53:03.816239image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-01-03T11:53:04.199807image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-01-03T11:53:05.746796image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

AñoTrimestreProvinciaOtros0,256 Mbps0,375 Mbps0,625 Mbps0,5 Mbps0,512 Mbps0,75 Mbps1 Mbps1,2 Mbps1,25 Mbps1,5 Mbps2 Mbps2,2 Mbps2,5 Mbps6,7 Mbps3 Mbps3,2 Mbps3,3 Mbps3,5 Mbps4 Mbps4,5 Mbps5 Mbps6 Mbps6,4 Mbps7 Mbps7,5 Mbps8 Mbps9 Mbps10 Mbps10,6 Mbps11 Mbps12 Mbps13 Mbps14 Mbps15 Mbps16 Mbps17 Mbps18 Mbps19 Mbps20 Mbps21 Mbps22 Mbps23 Mbps24 Mbps25 Mbps25,1 Mbps25,11 Mbps25,5 Mbps26 Mbps28 Mbps29 Mbps30 Mbps31 Mbps32 Mbps34 Mbps35 Mbps36 Mbps37 Mbps38 Mbps39 Mbps40 Mbps41 Mbps45 Mbps46 Mbps47 Mbps48 Mbps49 Mbps50 Mbps51 Mbps52 Mbps54 Mbps55 Mbps56 Mbps58 Mbps59 Mbps60 Mbps61 Mbps62 Mbps63 Mbps64 Mbps65 Mbps66 Mbps67 Mbps68 Mbps70 Mbps71 Mbps75 Mbps77 Mbps78 Mbps80 Mbps81 Mbps83 Mbps82 Mbps86 Mbps
02022.01.0Buenos Aires26,28019- 0- 031,3801925,95824,098- 0- 035124,766- 025- 065,112- 0- 050,53213,7296534,623124,179- 011,29628974,897231235,043- 01032,9631283397,049301220,609- 0139,032411825114,692- 0- 0- 0- 0- 0- 0726,5011,39772873- 0- 0- 0- 03,3029- 0- 0- 0- 011,006,534- 0- 0- 059- 0259426,428782- 0- 06- 0- 0- 03,163- 0100,884- 04212- 02- 0- 0
12022.01.0Capital Federal1,71731- 0- 0461351,4074,168- 0- 0- 0316- 0- 0- 05,393- 0- 013,670992- 03,50616,041- 07- 018,196359,184- 054,423- 0- 031,9035- 015,630- 09,0871- 0- 0- 033,645- 0- 0- 0- 0- 0- 059,618- 0- 0- 09- 0- 0- 060124- 0- 0- 0- 0- 0- 0420,771- 0- 0- 01- 0- 0- 0100,334- 0- 0- 0- 0- 01- 0- 03- 031,684- 0- 08- 0- 0- 0- 0
22022.01.0Catamarca2,207- 0- 0- 03437- 0456- 0- 0- 0144- 0- 0- 01,542- 0- 0- 0- 0- 0182,682- 02- 0- 037,004- 0- 03,181- 0- 0841- 0- 0- 0- 04,751- 0- 0- 02,573228- 0- 0- 0- 0- 0- 0960- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 021,877- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
32022.01.0Chaco7,580- 02251112342- 0988- 025- 01,007- 0- 0- 04,776- 0- 0167368- 01,7578,788- 0575- 01,248119,411- 0- 02,161- 0- 01,603- 0- 0270- 016,864- 0- 0- 0- 01,853- 0- 0- 0- 0- 0- 011,170- 0- 0- 0- 0- 0- 0- 0- 018- 0- 0- 0- 0- 0- 036,088- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
42022.01.0Chubut15,6078- 0- 073321,069608- 0- 0- 05,624- 0- 0- 018,839- 0- 012,7655,529- 02,41516,197- 0180- 013,19663817,842- 0113,910- 0- 018,909- 0- 0- 0- 0260- 0- 0- 01,1904,134- 0- 0- 0- 0- 0- 09,160- 0- 0- 0- 0- 0- 0- 0- 010- 0- 0- 0- 0- 0- 013,124- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
52022.01.0Córdoba13,1042- 0- 088109112,691- 0- 079,45026154- 044,630- 064,99014,055- 08,54384,061132,570- 012,0132,198109,215- 08815,722351125,064134- 04,073- 028,840- 0- 0- 0228,6855135- 0- 0- 06,299- 0- 0- 08- 0- 0- 0- 0485- 0- 0- 0- 0- 0- 0348,330- 0- 0- 0- 0- 0- 0- 05,080- 0- 0- 0- 0- 0- 0- 0- 02- 012- 0- 0- 0- 0- 0- 0- 0
62022.01.0Corrientes7,094- 0- 0- 010571183,911- 0- 0- 02,959- 0- 0- 07,587- 0- 04801,688- 01,55810,291- 0- 0- 02,921- 022,744- 0- 0187- 0- 01,6961,108- 0236- 023,850- 0- 0- 0- 01,262- 0- 0- 0- 0- 0- 09,204- 01- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 020,296- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
72022.01.0Entre Ríos16,7501- 0- 020861135,632- 0- 0- 04,656- 0- 0- 011,535- 0- 03902,393- 05,01526,086- 01,117- 01,541346,959- 0- 04,369- 0- 03,6691- 0839- 033,416- 0- 0- 0- 04,030- 0- 0- 0- 0- 0- 017,566- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 044,247- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
82022.01.0Formosa588- 0- 0- 04948- 0448- 0- 0- 01,951- 0- 0- 010,028- 0- 0- 03,291- 02,9595,884- 026- 088- 06,831- 0- 0331- 0- 0572- 0- 0228- 05,482- 0- 0- 0- 0396- 0- 0- 0- 0- 0- 0324- 0- 0- 05- 0- 0- 0- 08- 0- 0- 0- 0- 0- 07,268- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
92022.01.0Jujuy2,442- 0- 0- 02632- 01,761- 0- 0- 03,996- 0- 0- 05,432- 0- 0- 02,858- 04,7365,119- 010- 0999- 015,312- 0- 023,223- 0- 0526- 0- 04- 014,170- 0- 0- 0- 0359- 0- 0- 026- 0- 0191- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 027,838- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 01- 0
AñoTrimestreProvinciaOtros0,256 Mbps0,375 Mbps0,625 Mbps0,5 Mbps0,512 Mbps0,75 Mbps1 Mbps1,2 Mbps1,25 Mbps1,5 Mbps2 Mbps2,2 Mbps2,5 Mbps6,7 Mbps3 Mbps3,2 Mbps3,3 Mbps3,5 Mbps4 Mbps4,5 Mbps5 Mbps6 Mbps6,4 Mbps7 Mbps7,5 Mbps8 Mbps9 Mbps10 Mbps10,6 Mbps11 Mbps12 Mbps13 Mbps14 Mbps15 Mbps16 Mbps17 Mbps18 Mbps19 Mbps20 Mbps21 Mbps22 Mbps23 Mbps24 Mbps25 Mbps25,1 Mbps25,11 Mbps25,5 Mbps26 Mbps28 Mbps29 Mbps30 Mbps31 Mbps32 Mbps34 Mbps35 Mbps36 Mbps37 Mbps38 Mbps39 Mbps40 Mbps41 Mbps45 Mbps46 Mbps47 Mbps48 Mbps49 Mbps50 Mbps51 Mbps52 Mbps54 Mbps55 Mbps56 Mbps58 Mbps59 Mbps60 Mbps61 Mbps62 Mbps63 Mbps64 Mbps65 Mbps66 Mbps67 Mbps68 Mbps70 Mbps71 Mbps75 Mbps77 Mbps78 Mbps80 Mbps81 Mbps83 Mbps82 Mbps86 Mbps
4232017.04.0Río Negro3,719- 0- 0- 0409- 01985,400- 0- 0- 02,161- 0- 0- 0525- 0- 03,939267- 083873,348- 0- 0- 073- 0412- 0- 011,382- 0- 021- 0- 01,020- 079- 0- 0- 0- 03,354- 0- 0- 0- 0- 0- 0128- 0- 0- 0- 0- 0- 0- 0- 02- 0- 0- 0- 0- 0- 02,158- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
4242017.04.0Salta- 0- 0- 0- 0636- 01324,143- 0- 0- 015- 0- 0- 0158- 0- 021,608- 0- 0651,497- 0- 0- 07,733- 025,109- 0- 05,668- 0- 0189- 0- 0- 0- 013,111- 0- 0- 0- 03,229- 0- 0- 0- 0- 0- 0359- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 045- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
4252017.04.0San Juan- 0- 0- 0- 022- 01,03131- 0- 0- 0- 0- 0- 0- 027- 0- 01,677- 0- 0155,820- 0- 0- 01- 08- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 04- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
4262017.04.0San Luis1,902- 0- 0- 059- 01100- 0- 0- 0- 0- 0- 0- 05- 0- 01,136- 0- 0111,680- 0- 0- 07- 01- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 01- 0- 0- 0- 0- 0- 07- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
4272017.04.0Santa Cruz- 0- 0- 0- 068- 0- 078- 0- 0- 0143- 0- 0- 02,972- 0- 06,294- 0- 01,61018,054- 0- 0- 02- 0653- 0- 0- 0- 0- 066- 0- 0- 0- 034- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 01- 0- 0- 0- 0- 0- 0- 0- 03- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
4282017.04.0Santa Fe14,119- 0- 0- 03,109- 07,63726,495- 0- 0- 03,994- 0- 0- 010,009- 0- 093,2218,068- 03,785190,921- 045- 028,663- 080,231- 0- 081,9311- 05,213- 0- 08,289- 055,89524- 0- 0- 027,074- 0- 0- 0- 0- 0- 03,877- 0- 0- 0387- 0- 0- 0- 02- 077- 0- 0- 0- 014,755- 0- 0- 0- 0- 0- 0- 01- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
4292017.04.0Santiago Del Estero- 0- 0- 0- 041- 09092,182- 0- 0- 013- 0- 0- 03- 0- 028,772- 0- 0- 014,756- 0- 0- 011,710- 07,063- 0- 0- 0- 0- 027- 0- 0- 0- 03,332- 0- 0- 0- 016- 0- 0- 0- 0- 0- 018- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
4302017.04.0Tierra Del Fuego- 0- 0- 0- 06- 028228- 0- 0- 0- 0- 0- 0- 04- 0- 09,4241- 0- 021,905- 0- 0- 0- 0- 02- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
4312017.04.0Tucumán- 0- 0- 0- 0105- 018,163- 0- 0- 0- 0- 0- 0- 0159- 0- 08,017- 0- 0970,565- 0- 0- 0- 0- 045,241- 0- 0- 0- 0- 076- 0- 0- 0- 024,242- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 01,303- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0- 0
432NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN